Preparing for Technical Interviews? This is what I used to get job offers at Facebook/Google/Microsoft/Amazon: http://algoexpert.io/joma Use code "joma" for a 30% discount. Ends Soon! Sign up for daily interview questions at https://www.dailycodingproblem.com/joma Use coupon code "joma" for $10 off ►Sign up for Brilliant: https://brilliant.org/Joma/ ►Follow me on Instagram: https://www.instagram.com/jomaoppa/ ►Music I use: http://share.epidemicsound.com/lSSdb - (For YouTubers) ►Chat with me https://discord.gg/H52kZHe ►TWITTER/INSTAGRAM/FACEBOOK @jomaoppa FILM STUFF AMAZIN LINKS Laptop - https://amzn.to/2GN6IqD MAIN Camera - http://amzn.to/2Fs1JeX Main Lens - http://amzn.to/2IkeYwm Wide lens - http://amzn.to/2DgzIRD Mic I use - http://amzn.to/2p8gZmj Vlogging Camera - http://amzn.to/2FFuPah Gorilla Pod - http://amzn.to/2oZZeX8 Drone - http://amzn.to/2FzatMy GoPro HERO 5 - http://amzn.to/2Ghgmir Snowball Mic - http://amzn.to/2Gh8P3i Traveling? Get $55 off AirBnb: https://www.airbnb.com/c/jma366?currency=USD
Views: 165538 Joma Tech
Web scraping is a very powerful tool to learn for any data professional. With web scraping the entire internet becomes your database. In this tutorial we show you how to parse a web page into a data file (csv) using a Python package called BeautifulSoup. In this example, we web scrape graphics cards from NewEgg.com. Sublime: https://www.sublimetext.com/3 Anaconda: https://www.anaconda.com/distribution/#download-section If you are not seeing the command line, follow this tutorial: https://www.tenforums.com/tutorials/72024-open-command-window-here-add-windows-10-a.html -- Learn more about Data Science Dojo here: https://hubs.ly/H0hz5HN0 Watch the latest video tutorials here: https://hubs.ly/H0hz5SV0 See what our past attendees are saying here: https://hubs.ly/H0hz5K20 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 800 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://twitter.com/DataScienceDojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo #webscraping #python
Views: 534617 Data Science Dojo
This is a review of the fantastic Python for Data Analysis. I learnt a lot from this book by Wes McKinney. Its section on IPython is excellent and it explains Numpy extremely well: two chapters are dedicated to Numpy covering the basics and advanced topics. It really helps you to visualize numpy arrays. The Pandas coverage is excellent and you learn what a powerful tool Pandas can be. I always use it for my data analysis, usually in a jupyter notebook and I love what it can do. If you are new to data analysis and are looking for an introductory book to explain how to do it in Python, I haven't seen a better one than this. Buy it from Amazon (USA) https://amzn.to/2I2TB1H (UK) https://amzn.to/2KFwmg9 (2nd Edition books) (affiliate links)
Views: 10881 Python Programmer
Amazon coding interview question and answer - recursive staircase problem! For daily coding problems like this one, I’d recommend this website called Daily Coding Problem. You can find it here: https://csdojo.io/daily (That’s a referral link, and you can get a 10% discount through that link. Their free option and blog articles are good, too, though.) Outline (check my comment for the clickable outline): 0:07: Problem description 1:14: A variation of the problem 2:15: Thinking about simple cases 4:18: Finding a pattern 5:24: Relabeling the steps 6:41: Revisiting the pattern with the new labels 7:53: The pattern we’ve found - recap. 8:11: The recursive relationship we’ve found 8:50: What about when N = 0? 9:40: Writing a naive recursive solution 10:39: Why this solution is not efficient 11:24: How to fix it with dynamic programming (bottom-up) 12:27: The bottom-up solution in code 13:34: How to make it more efficient in terms of space 14:19: Solution to the variation of the problem 14:49: The recursive relationship for this problem (the variation) 15:08: A naive, INCORRECT recursive solution to this problem 15:50: A naive, CORRECT recursive solution to this problem 16:17: A naive, correct recursive solution in code 17:11: A dynamic programming / bottom-up approach 19:17: How to get daily coding problems like this one (go to https://csdojo.io/daily) Also, keep in touch on Facebook: https://www.facebook.com/entercsdojo
Views: 619241 CS Dojo
Views: 22445 Academind
Python data analysis / data science tutorial. Let’s go! For more videos like this, I’d recommend my course here: https://www.csdojo.io/moredata Sample data and sample code: https://www.csdojo.io/data My explanation about Jupyter Notebook and Anaconda: https://bit.ly/2JAtjF8 Also, keep in touch on Twitter: https://twitter.com/ykdojo And Facebook: https://www.facebook.com/entercsdojo Outline - check the comment section for a clickable version: 0:37: Why data visualization? 1:05: Why Python? 1:39: Why Matplotlib? 2:23: Installing Jupyter through Anaconda 3:20: Launching Jupyter 3:41: DEMO begins: create a folder and download data 4:27: Create a new Jupyter Notebook file 5:09: Importing libraries 6:04: Simple examples of how to use Matplotlib / Pyplot 7:21: Plotting multiple lines 8:46: Importing data from a CSV file 10:46: Plotting data you’ve imported 13:19: Using a third argument in the plot() function 13:42: A real analysis with a real data set - loading data 14:49: Isolating the data for the U.S. and China 16:29: Plotting US and China’s population growth 18:22: Comparing relative growths instead of the absolute amount 21:21: About how to get more videos like this - it’s at https://www.csdojo.io/moredata
Views: 290525 CS Dojo
Learn Python here: https://courses.learncodeonline.in/learn/Python3-course In this video, we will talk about basics of web scraping using python. This is a video for total beginners, please comment if you want more videos on web scraping fb: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com Download LearnCodeOnline.in app from Google play store and Apple App store
Views: 189772 Hitesh Choudhary
In this video, I go over the 3 steps you need to prepare a dataset to be fed into a machine learning model. (selecting the data, processing it, and transforming it). The example I use is preparing a dataset of brain scans to classify whether or not someone is meditating. The challenge for this video is here: https://github.com/llSourcell/prepare_dataset_challenge Carl's winning code: https://github.com/av80r/coaster_racer_coding_challenge Rohan's runner-up code: https://github.com/rhnvrm/universe-coaster-racer-challenge Come join other Wizards in our Slack channel: http://wizards.herokuapp.com/ Dataset sources I talked about: https://github.com/caesar0301/awesome-public-datasets https://www.kaggle.com/datasets http://reddit.com/r/datasets More learning resources: https://docs.microsoft.com/en-us/azure/machine-learning/machine-learning-data-science-prepare-data http://machinelearningmastery.com/how-to-prepare-data-for-machine-learning/ https://www.youtube.com/watch?v=kSslGdST2Ms http://freecontent.manning.com/real-world-machine-learning-pre-processing-data-for-modeling/ http://docs.aws.amazon.com/machine-learning/latest/dg/step-1-download-edit-and-upload-data.html http://paginas.fe.up.pt/~ec/files_1112/week_03_Data_Preparation.pdf Please subscribe! And like. And comment. That's what keeps me going. And please support me on Patreon: https://www.patreon.com/user?u=3191693 Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 191613 Siraj Raval
This Big Data Video will help you understand how Amazon is using Big Data is ued in their recommendation syatems. You will understand the importance of Big Data using case study. Recommendation systems have impacted or even redefined our lives in many ways. One example of this impact is how our online shopping experience is being redefined. As we browse through products, the Recommendation system offer recommendations of products we might be interested in. Regardless of the perspectives, business or consumer, Recommendation systems have been immensely beneficial. And big data is the driving force behind Recommendation systems. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 31863 Simplilearn
This video is about AWS and real time prediction using Python which forms a part of machine learning. For any further help contact us at [email protected] visit us at http://www.researchinfinitesolutions.com/ Direct at :: +91-8146105825 Whatsapp at :: +91-8146105825
Views: 4711 Fly High with AI
Coding With Python :: Learn API Basics to Grab Data with Python This is a basic introduction to using APIs. APIs are the "glue" that keep a lot of web applications running and thriving. Without APIs much of the internet services you love might not even exist! APIs are easy way to connect with other websites & web services to use their data to make your site or application even better. This simple tutorial gives you the basics of how you can access this data and use it. If you want to know if a website has an api, just search "Facebook API" or "Twitter API" or "Foursquare API" on google. Some APIs are easy to use (like Locu's API which we use in this video) some are more complicated (Facebook's API is more complicated than Locu's). More about APIs: http://en.wikipedia.org/wiki/Api Code from the video: http://pastebin.com/tFeFvbXp If you want to learn more about using APIs with Django, learn at http://CodingForEntrepreneurs.com for just $25/month. We apply what we learn here into a Django web application in the GeoLocator project. The Try Django Tutorial Series is designed to help you get used to using Django in building a basic landing page (also known as splash page or MVP landing page) so you can collect data from potential users. Collecting this data will prove as verification (or validation) that your project is worth building. Furthermore, we also show you how to implement a Paypal Button so you can also accept payments. Django is awesome and very simple to get started. Step-by-step tutorials are to help you understand the workflow, get you started doing something real, then it is our goal to have you asking questions... "Why did I do X?" or "How would I do Y?" These are questions you wouldn't know to ask otherwise. Questions, after all, lead to answers. View all my videos: http://bit.ly/1a4Ienh Get Free Stuff with our Newsletter: http://eepurl.com/NmMcr The Coding For Entrepreneurs newsletter and get free deals on premium Django tutorial classes, coding for entrepreneurs courses, web hosting, marketing, and more. Oh yeah, it's free: A few ways to learn: Coding For Entrepreneurs: https://codingforentrepreneurs.com (includes free projects and free setup guides. All premium content is just $25/mo). Includes implementing Twitter Bootstrap 3, Stripe.com, django south, pip, django registration, virtual environments, deployment, basic jquery, ajax, and much more. On Udemy: Bestselling Udemy Coding for Entrepreneurs Course: https://www.udemy.com/coding-for-entrepreneurs/?couponCode=youtubecfe49 (reg $99, this link $49) MatchMaker and Geolocator Course: https://www.udemy.com/coding-for-entrepreneurs-matchmaker-geolocator/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Marketplace & Dail Deals Course: https://www.udemy.com/coding-for-entrepreneurs-marketplace-daily-deals/?couponCode=youtubecfe39 (advanced course, reg $75, this link: $39) Free Udemy Course (40k+ students): https://www.udemy.com/coding-for-entrepreneurs-basic/ Fun Fact! This Course was Funded on Kickstarter: http://www.kickstarter.com/projects/jmitchel3/coding-for-entrepreneurs
Views: 447920 CodingEntrepreneurs
http://alphabench.com/data/data-analysis-python.html "Try my "Hands-on Python for Finance" course on Udemy free for the first 100 people with code: HPFF0975 https://www.udemy.com/hands-on-python-for-finance/ " ***NOTE pandas_datareader is no longer able to download data from Yahoo. I recommend installing fix_yahoo_finance. See the tutorial: https://alphabench.com/data/python-fix-yahoo-finance-tutorial.html Or, Open a command window and enter the following: pip install fix_yahoo_finance Once complete, open Python or start a notebook and: import fix_yahoo_finance as fyf data = fyf.download(stock_symbol(s), start*, end*) *optional Video tutorial that discusses fundamental data analysis techniques using stock price data from Amazon. Makes use of Python 3.6 and several supporting libraries including Pandas, Pandas Datareader and Matplotlib. To install an environment similar to that used here install the Anaconda scientific platform, free download from: https://www.continuum.io/ The jupyter notebook used in this tutorial can be downloaded by visiting: https://nbviewer.jupyter.org/url/alphabench.com/data/Python-Basic-Data-Analysis.ipynb
Views: 9016 Matt Macarty
Analyzing the American Airlines Data-Set for Flight Delay Prediction using Python and Amazon Web Services.
Views: 494 Anant Gupta
In this video we'll be learning how to send emails using Python, it's built-in library called smtplib and Amazon's Simple Email Service. We'll be using Amazon SES to send emails because it's designed for sending hundreds of thousands of emails every single day. It's also extremely cheap to send each email when using Amazon SES. Go to https://howcode.org for more! Link to DigitalOcean: http://howco.de/d_ocean Link to howCode Facebook: http://howco.de/fb Link to howCode Twitter: http://howco.de/twitter Link to /r/howCode: http://howco.de/reddit Don't forget to subscribe for more!
Views: 4490 howCode
I have been working with R and Python the last few weeks, and I definitely have a favorite. In this video I will tell you which one is my favourite and give you four reasons why that is. This is just my personal experience, I recommend you to test before so you can make your mind too. Here you can download all the pbix files: https://curbal.com/donwload-center SUBSCRIBE to learn more about Power and Excel BI! https://www.youtube.com/channel/UCJ7UhloHSA4wAqPzyi6TOkw?sub_confirmation=1 Our PLAYLISTS: - Join our DAX Fridays! Series: https://goo.gl/FtUWUX - Power BI dashboards for beginners: https://goo.gl/9YzyDP - Power BI Tips & Tricks: https://goo.gl/H6kUbP - Power Bi and Google Analytics: https://goo.gl/ZNsY8l ☼☼☼☼☼☼☼☼☼☼ POWER BI COURSES: Want to learn Power BI? How about you take one of our courses? Here you can find the available courses: https://curbal.com/courses-overview ☼☼☼☼☼☼☼☼☼☼ ABOUT CURBAL: Website: http://www.curbal.com Contact us: http://www.curbal.com/contact ▼▼▼▼▼▼▼▼▼▼ If you feel that any of the videos, downloads, blog posts that I have created have been useful to you and you want to help me keep on going, here you can do a small donation to support my work and keep the channel running: https://curbal.com/product/sponsor-me Many thanks in advance! ▲▲▲▲▲▲▲▲▲▲ ************ What gear do I use to make my videos and run my business? Below you will find a list of most of my gear. The links on the store are affiliate links, meaning if you buy something from them, amazon will give a small commission and you will be supporting my channel indirectly. Thanks in advance! https://www.amazon.com/shop/curbal ************ QUESTIONS? COMMENTS? SUGGESTIONS? You’ll find me here: Linkedin ► https://goo.gl/3VW6Ky Twitter ► @curbalen, @ruthpozuelo Facebook ► https://goo.gl/bME2sB
Views: 3546 Curbal
#BigData #CloudComputing #techtrends #DataScience #Python #R #DataAnalytics As machine learning getting more and more mainstream, the increasing number of public cloud providers are providing more and more machine learning related APIs such as Text Analytics, ANN, Auto ML APIs which are on one hand make life easier for many application developers, but on the other hand brings API management complexity in hybrid cloud environment. Now, if you want to start your own Chat bot, or do Sentiment Analysis you don't need to learn any ML algos, you can simply signup for AWS Text Analytics service and it works out of the box. This weeks webinar we will delve into details with some hands on example showcasing how you could get Sentiment Analysis ready on AWS. This webinar is designed for anyone who wants to understand what is what of Modern Data drive Cloud platform. The Webinar will be conducted by 3 panel members who are Industry veterans and have seen many such tech boom busts. The Webinar will be live Streamed on Zoom Meeting from Toronto, CA .URL will be on the Ticket. Following topics will be covered, and last 15 minutes will be Q/A. Overview of Sentiment Analysis Why to choose Cloud for SA Demo with AWS Sentiment Analysis
Views: 82 becloudready
Sorry about the camera skipping frames you guys. I originally built out the app on my laptop, which doesn't have a dedicated graphics card. I am demonstrating the app on the laptop, but I will be doing the rest of the tutorials from a PC with a graphics card.
Views: 636 Bryan Overbey
This python pandas tutorial is taken from the https://lectures.quantecon.org/py/ pandas tutorial. Pandas is an excellent python module. It is designed for cleaning and analysing data. In this tutorial I show you how to use it. For the links from the tutorial go to my facebook page. https://www.facebook.com/1803688936591278/posts/2022022968091206/ Recommended books in my Amazon store https://www.amazon.com/shop/pythonprogrammer
Views: 17354 Python Programmer
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython 💰 Get This Book : https://www.amazon.com/Python-Data-Analysis-Wrangling-IPython/dp/1491957662?SubscriptionId=AKIAIVBEB2F2N6BGDWEQ&tag=altanesta06-20&linkCode=xm2&camp=2025&creative=165953&creativeASIN=1491957662 Price from: $37.13 Publisher: O'Reilly Media Total pages: 544
Views: 89 Altanesta
How to do face recognition, object detection, and face comparisons using AWS Rekognition service from Python. Also includes using Python's boto3 module for interacting with AWS. Get the code at https://github.com/drpventura/PythonRekognitionDemo Contents: Intro - 4:12 What to Install - 8:45 Creating IAM credentials - 19:30 Using boto3 to access AWS - 26:46 Rekognition demo - 45:49 Labelling objects from Python - 50:09 Face detection from Python - 58:50 Detecting celebrities from Python - 1:10:55
Views: 8187 drprventura
Galvanize Graduate Greg Kamradt shares tips and tricks for mastering Data Science Job interviews. Read notes about this talk here: https://blog.galvanize.com/how-to-prepare-for-a-technical-interview/
Views: 80161 Galvanize
In this tutorial, you are going to learn about setting up rules in IAM console of your AWS account to access the power of AWS Rekognition API programmatically. AWS Rekognition allows you to perform and integrate image recognition capabilities into your application without having to write the inherent machine learning code from scratch. By using the boto3 library in Python, you can easily access the image recognition capabilities of the API and perform a lot of analysis like object detection, text detection, image moderation and other interesting operations that you would be interested to perform. Check out my website - https://www.pylenin.com Join my Facebook group - https://www.facebook.com/pylenin Connect with me on Twitter - https://twitter.com/pylenin Join me on Instagram - https://www.instagram.com/pylenin
Views: 1318 PyLenin
The interview process can be very intimidating. There seems to be so much material to study and it may be difficult even knowing where to start. In this video, we will go over 10 different things you should know before going in to your first Python interview. Here are a few links I mentioned in the video: When to use a list or tuple? http://stackoverflow.com/questions/1708510/python-list-vs-tuple-when-to-use-each My video on Comprehensions: https://www.youtube.com/watch?v=3dt4OGnU5sM My video on Generators: https://www.youtube.com/watch?v=bD05uGo_sVI What is a T-Shaped Skillset? https://en.wikipedia.org/wiki/T-shaped_skills ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python
Views: 403965 Corey Schafer
link: https://courses.learncodeonline.in/learn/Machine-Learning-Bootcamp Machine Learning and Data Science Companies like Facebook, Google and Amazon have got a lot of data about us. Even the small companies have got a lot of data like signup information, number of logins, Product purchase, products that we are looking for. All this data can be processed and can give any company a boost in productivity and increase in sale. That is why machine learning is growing so fast. Companies can offer amazing features like quick replies that are context based in Gmail, Uber driver arrival time or time to reach at the destination via Google maps, self-driving cars etc. This is just a start of machine learning and power of data science. Welcome to data science and machine learning course! One of the best online resource to understand and implement Machine learning and data science concepts. Usually people thinks that data science can only be learn by Ph.D but that not true, anyone can learn data science and machine learning. Desktop: https://amzn.to/2GZ0C46 Laptop that I use: https://amzn.to/2Goui9Q Wallpaper: https://imgur.com/a/FYHfk Facebook: https://www.facebook.com/HiteshChoudharyPage homepage: http://www.hiteshChoudhary.com Download LearnCodeOnline.in app from Google play store and Apple App store
Views: 102346 Hitesh Choudhary
For Lavanya Tekumalla, life has always been about taking tough, risky and unexpected choices. As a leader, as a Machine Learning Scientist, and also as a perpetual learner who is not afraid to change the course of her life when required, she is an inspiration to many. #BeBoldForChange #EmpoweringWomen
Views: 145756 Inside Amazon India
Working with CSV files is simple in Python. Today we will introduce the CSV module and show you how to read and write CSV files. As a demo, we will analyze the first ten years of stock data for Google. You can download a CSV containing the first 10 years of Google stock data here: https://goo.gl/3zaUlD ➢➢➢➢➢➢➢➢➢➢ To learn Python, you can watch our playlist from the beginning: https://www.youtube.com/watch?v=bY6m6_IIN94&list=PLi01XoE8jYohWFPpC17Z-wWhPOSuh8Er- ➢➢➢➢➢➢➢➢➢➢ We recommend: Python Cookbook, Third edition from O’Reilly http://amzn.to/2sCNYlZ The Mythical Man Month - Essays on Software Engineering & Project Management http://amzn.to/2tYdNeP Shop Amazon Used Textbooks - Save up to 90% http://amzn.to/2pllk4B ➢➢➢➢➢➢➢➢➢➢ Subscribe to Socratica: http://bit.ly/1ixuu9W To support more videos from Socratica, visit Socratica Patreon https://www.patreon.com/socratica Socratica Paypal https://www.paypal.me/socratica We also accept Bitcoin! :) Our address is: 1EttYyGwJmpy9bLY2UcmEqMJuBfaZ1HdG9 ➢➢➢➢➢➢➢➢➢➢ Python instructor: Ulka Simone Mohanty Written & Produced by Michael Harrison FX by Andriy Kostyuk
Views: 215470 Socratica
This is one of the 3 problem solving techniques I personally used to get through coding interviews with companies such as Google. To get the 2 other techniques, check out my Udemy course, "11 Essential Coding Interview Questions": https://www.udemy.com/11-essential-coding-interview-questions/?couponCode=SOLVE2
Views: 242413 CS Dojo
According to a recent survey, Python is the most popular language among data scientists. PyCharm is a great IDE, but I noticed the trap of only using a subset of PyCharm's features. To help fix this, I created a Pluralsight course to boost Python productivity in the context of data science, by making the most out of PyCharm. In this webinar, I demo and discuss some PyCharm features that I present in more detail in the course. About the Presenter: Dan Tofan is a backend software engineer with Digital Science, at their Romania office. He uses Python, Linux, Kubernetes and the Amazon cloud to help advance research with dimensions.ai - an innovative research data platform.
Views: 3563 JetBrainsTV
Let's talk wearable health technology, heart rate data, and how to get it into python and visualize it in cool ways! MORE: Blog or code: http://www.viralml.com/video-content.html?fm=yt&v=0XEu02dNhJQ Signup for my newsletter and more: http://www.viralml.com Connect on Twitter: https://twitter.com/amunategui My books on Amazon: The Little Book of Fundamental Indicators: Hands-On Market Analysis with Python: Find Your Market Bearings with Python, Jupyter Notebooks, and Freely Available Data: https://amzn.to/2DERG3d Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud: https://amzn.to/2PV3GCV Grow Your Web Brand, Visibility & Traffic Organically: 5 Years of amunategui.github.Io and the Lessons I Learned from Growing My Online Community from the Ground Up: Fringe Tactics - Finding Motivation in Unusual Places: Alternative Ways of Coaxing Motivation Using Raw Inspiration, Fear, and In-Your-Face Logic https://amzn.to/2DYWQas Create Income Streams with Online Classes: Design Classes That Generate Long-Term Revenue: https://amzn.to/2VToEHK Defense Against The Dark Digital Attacks: How to Protect Your Identity and Workflow in 2019: https://amzn.to/2Jw1AYS Fitbit Alta HR (aff): https://amzn.to/2OhstQw Check out my books on Amazon: https://www.amazon.com/s/field-keywords=manuel+amunategui Transcript: Hello Friends Let's talk wearable health technology, heart rate data, and how to get it into python and visualize it in cool ways! I recently got the Fitbit Alta HR and have been saving the data diligently every day. It is a simple, discrete and inexpensive device. But this should apply to competitors including the Apple watch as long as you know how to download your heart rate to a CSV file. Not a substitute for a medical-grade Electrocardiogram Welcome to ViralML, my name is Manuel Amunategui. I am the author of Monetizing Machine Learning, a book on extending your machine learning models to the web to allow the world to access your work and even monetize it. You can find it along with others on Amazon, simply put my first and last name in the Amazon search bar. This video will be categorized under the Health button! So, the Alta Fitbit does more than just the heart rate, it also does time, step count and more. My commute to my office is about 40 minutes from where I live and I walk to it and back. I mention this as we clearly see the spikes in my heart data. Included in the code is one day's worth of my HR data for those that don't have a wearable but want to follow along. Link to code and data are in the description. Let's roll up our sleeves, open our Jupyter notebook and get to work... Finally, if you have a project idea around heart rate, wearable data and want to partner with me - get in touch. I am especially interested in health and preventive oriented applications. You can reach me at Amunategui, my last name, at GMAIL.com Have fun!! CATEGORY:Health HASCODE:ViralML-heart-rate-data-exploration.html
Views: 147 Manuel Amunategui
Uploading a public file is here: https://www.youtube.com/watch?v=8ObF8Qnw_HQ Example code is in this repo: https://github.com/keithweaver/python-aws-s3/ The previous video is here: https://youtu.be/v33Kl-Kx30o Equipment: My mic/headphones (http://amzn.to/2tpRthn) Please subscribe! https://keithweaver.ca/ https://github.com/keithweaver
Views: 24111 Keith, the Coder
Subscribe to O'Reilly on YouTube: http://goo.gl/n3QSYi Follow O'Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
Views: 551 O'Reilly
Welcome to a Python for Finance tutorial series. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. From here, we'll manipulate the data and attempt to come up with some sort of system for investing in companies, apply some machine learning, even some deep learning, and then learn how to back-test a strategy. I assume you know the fundamentals of Python. If you're not sure if that's you, click the fundamentals link, look at some of the topics in the series, and make a judgement call. If at any point you are stuck in this series or confused on a topic or concept, feel free to ask for help and I will do my best to help. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 332238 sentdex
How to Run Python File on Amazon Web Service EC2 for Cloud Computing? I demonstrate it on this video. What is AWS EC2? Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. This can be useful for those Python developers who handling Big Data for Business or want to automate Data Mining, Data Automation or Data Analysis processes without manual work by scheduling task in the cloud server. For example by using Web Scrapers or other tools for Data Mining. Before going through the following steps please download: PuTTY Configuration and PUTTY Key Generator tools to your computer from here: https://www.chiark.greenend.org.uk/~sgtatham/putty/latest.html. And simply install those packages. FileZilla from https://filezilla-project.org. The content of the video: Step 1. Launch AWS EC2 Website Step 2. Create an Instance Step 3. Choose an Amazon Machine Image (AMI) Step 4. Choose an Instant Type. Step 5. Review details of Instance Launch. Step 6. Create a new key pair. Step 8. Setup connection to AWS EC2 Instance. Step 9. Prepare AWS EC2 Instance for Python (Install Python 3 on Ubuntu Server in AWS EC2). Step 11. Launch Python code in AWS server. Due to educational purpose I will select standard Ubuntu Server that is free tier eligible. Full instructions how to setup Amazon Web Services EC2 and do all the steps above with very detailed steps, plese check my LinkedIn article: https://www.linkedin.com/pulse/run-python-code-aws-automate-schedule-dr-vytautas-bielinskas/ Thank you for watching!
Views: 49 Dr. Vytautas Bielinskas
Skillshare might not like this. You can sign up for a 2 month trial for Skillshare, complete the data science course and then cancel your membership before being charged: http://engineeredtruth.com/skillshare-data-science Skillshare is the Netflix of online courses. Subscribe for just $15 per month to get access to over 18,000+ courses (some better than others) Check out Joma's YouTube channel here: https://www.youtube.com/watch?v=t6lBeG5QaC4 The skillshare link is an affiliate link https://Facebook.com/EngineeredTruth https://Twitter.com/EngineeredTruth https://Instagram.com/EngineeredTruth
Views: 687502 ENGINEERED TRUTH
To learn more, please visit: https://aws.amazon.com/textract/ Amazon Textract enables you to easily extract text and data from virtually any document. Today, companies process millions of documents by manually entering the data or using simple optical character recognition software, which are prone to error and difficult to customize. Join this tech talk to learn how Amazon Textract uses machine learning to simplify document processing by enabling fast and accurate text and data extraction so you can process millions of documents in hours, with no machine learning experience required. We'll dive into how Textract's pre-trained machine learning models eliminate the need for companies to write code for data extraction and we'll also discuss different use cases. Learning Objectives: - Learn about the features and benefits of Amazon Textract - Learn about different use cases from media & entertainment to healthcare and more - Learn how to get started and sign up for the Amazon Textract preview
Views: 3979 AWS Online Tech Talks
Here is a short review of the top 5 best books for learning to program in Python. I think these are really good books on python and any of them will really help you to learn python from scratch. Whether you want to learn python for machine learning, data analysis, making games of for web app development, there will be something here for you. All of the books mentioned here have been reviewed separately on this channel. Books (affiliate links) 1. Automate the Boring Stuff With Python – http://amzn.to/2kSPOtA (or for free here https://automatetheboringstuff.com/ ) 2. Python Crash Course –http://amzn.to/2BsorSq 3. Effective Computation in Physics – http://amzn.to/2BJxVFC 4. Learn Python the Hard Way – http://amzn.to/2p4TQVd My Python Course - https://www.youtube.com/watch?v=Aah3TmR-dHc&list=PLtb2Lf-cJ_AWhtJE6Rb5oWf02RC2qVU-J
Views: 68236 Python Programmer
Access this full Apache Spark course on Level Up Academy: https://goo.gl/WtnLPm This Apache Spark Tutorial covers all the fundamentals about Apache Spark with Python and teaches you everything you need to know about developing Spark applications using PySpark, the Python API for Spark. Apache Spark Tutorial | Spark tutorial | Apache tutorial Access this full Apache Spark course on Level Up Academy: https://goo.gl/WtnLPm At the end of this Apache Spark Tutorial, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building big data processing pipeline and data analytics applications. Apache Spark Tutorial | Spark tutorial | Apache tutorial This Apache Spark Tutorial covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom. And much much more. Access this full Apache Spark course on Level Up Academy: https://goo.gl/WtnLPm Apache Spark Tutorial | Spark tutorial | Apache tutorial What will you learn from this Apache Spark Tutorial: In particularly, you will learn: An overview of the architecture of Apache Spark. Develop Apache Spark 2.0 applications with PySpark using RDD transformations and actions and Spark SQL. Work with Apache Spark's primary abstraction, resilient distributed datasets(RDDs) to process and analyze large data sets. Deep dive into advanced techniques to optimize and tune Apache Spark jobs by partitioning, caching and persisting RDDs. Scale up Spark applications on a Hadoop YARN cluster through Amazon's Elastic MapReduce service. Analyze structured and semi-structured data using Datasets and DataFrames, and develop a thorough understanding of Spark SQL. Share information across different nodes on an Apache Spark cluster by broadcast variables and accumulators. Best practices of working with Apache Spark in the field. Big data ecosystem overview. Apache Spark Tutorial | Spark tutorial | Apache tutorial
Views: 50917 Level Up
Our picks for the best Books to Learn Python Programming with, these books range in level from beginner to advanced. Links to buy the books are in the comments below. _________________________________________________________ Trifty is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to (amazon.com or myhabit.com)].
Views: 812 Trifty
To catch up on more AWS Twitch streams and to see the upcoming calendar, visit http://amzn.to/2EW27hx. In this interactive Twitch stream, viewers were able to watch and contribute as we live coded a Twitter bot powered by AWS and Artificial Intelligence that can guess where in the world a picture was taken. We explored the Twitter API, Amazon Sagemaker, Amazon DynamoDB, Boto3, Amazon API Gateway, and AWS Lambda. Follow along with the source code at https://github.com/ranman/whereml and deploy your bot to production.
Views: 2503 Amazon Web Services
As we are done with revising programming languages and built Spark based applications, now let us see how we can run these applications on the cluster. Complete course is available as part of our LMS as paid one - https://kaizen.itversity.com/shop/all-courses/big-data-on-cloud-hadoop-and-spark-on-emr/ * Run the Spark application using Scala using step execution * Run the Spark application using Python using step execution * Run both the applications directly on the cluster * Validate the data * Compare and Contrast Running jobs against s3 as well as HDFS * Understand the relevance of other technologies such as Red Shift, Dynamo DB etc. Connect with me or follow me at https://www.linkedin.com/in/durga0gadiraju https://www.facebook.com/itversity https://github.com/dgadiraju https://www.youtube.com/itversityin https://twitter.com/itversity
Views: 3245 itversity
Description In this talk I will present how we use Python, PySpark and AWS as our preferred data science stack for the Internet of Things, which allows us to efficiently develop and deploy smart data applications on top of IoT sensor data. We use these technologies to analyse and model IoT timeseries data, as well as to build automated and scalable data pipelines for smart IoT data applications in the cloud. Abstract The Internet of Things and Industry 4.0 are here, bringing along a vast amount of connected devices and sensors producing even more data. In order to build smart applications on top of IoT sensor data we need to deal with the challenges that come along time-series data from a large amount of devices. At WATTx we build data application prototypes in the field of smart homes, smart buildings, and smart climate, which involves making use of data coming from many IoT sensors measuring -- amongst others -- temperature, humidity, motion, and luminance. The purpose of this talk is to present how we use Python and Spark to effectively analyse and model IoT data. In particular I will introduce how we use Python to process and model data from multiple IoT sensors, build machine learning models on top of it, and use Spark to scale and deploy our models in automated data pipelines in the cloud as smart IoT applications. I will use the development of predictive models for smart building applications as a real-world example to demonstrate this setup. I hope that this talk will give valuable insights on how Python and PySpark in conjunction with AWS are powerful tools to work with time-series sensor data from the Internet of Things and build data products on top of it. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 2640 PyData
In this Python for data Science Tutorial you will learn about the very basics of Machine learning. Types of Machine learning algorithms - Regression- principal component analysis and many more.
Views: 1645 TheEngineeringWorld
Python Sentiment Analysis Please Subscribe ! ►Websites: http://everythingcomputerscience.com/ ►C-Programming Tutorial: https://www.udemy.com/c-programming-for-complete-beginners/learn/v4/overview ►Become a Patreot: https://www.patreon.com/randerson112358 ►PROGRAMMING BOOKS C-Programming - https://www.amazon.com/gp/product/0131103628/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0131103628&linkId=764c7627ffb13944091b2ad15fb5de90 Head First Java - https://www.amazon.com/gp/product/0596009208/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0596009208&linkId=58082f233879197beb1aeb73b03c1ed8 ►DISCRETE STRUCTURES/MATHEMATICS BOOKS Discrete Mathematics Workbook- https://www.amazon.com/gp/product/0130463272/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0130463272&linkId=83220d3b9eb58fb0566fa51c0e5b5571 Practice Problems in Discrete Mathematics -https://www.amazon.com/gp/product/0130458031/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0130458031&linkId=e6c98555ea0342d902afda0221a1a8fb ►ALGORITHMS BOOKS Algorithm Analysis - https://www.amazon.com/gp/product/0262033844/ref=as_li_tl?ie=UTF8&tag=everythingc06-20&camp=1789&creative=9325&linkCode=as2&creativeASIN=0262033844&linkId=ba3b1d4075fbd043bb4596a0df9402e9 Get the code here: https://raw.githubusercontent.com/randerson112358/Python/master/sentiment.py
Views: 49 Computer Science
#DataAnalytics | Learn more about our analytics programs: http://bit.ly/2mjR9Lt Understand the use of Analytics in Retail and Supply chain domains with the help of multiple case studies. The masterclass covers the following topics: 1. Understanding & planning the Machine Learning pipeline. 2. Case study 1: Applications of analytics in the transportation sector. 3. Case study 2: Optimizing order quantity of perishable goods. 4. Industry overview: Different types of analytics, model training, applications of Python, Spark, Hadoop Speaker: Rajarajan Subramanian, Manager - Analytics, NEC Technology Rajarajan is currently working as Manager - Analytics with NEC Technologies, India. He manages projects executed in Advanced Analytics CoE and has previously worked on Predictive Modelling projects for global clients. Some of the major analytics projects he has worked upon are Driver Accident Risk Prediction, POS Auto order system, Bus Schedule Optimization, Self Analytics Platform etc. He has over 16yrs of professional experience. Rajarajan completed his analytics course in 2015 from Great Lakes Institute of Management and transitioned into the Analytics domain. #LogisticsRegression #MachineLearning #CaseStudy #RetailIndustry #MachineLearningWithPython ---------------------------------------------------- PG Program in Business Analytics (PGP-BABI): 12-month program with classroom training on weekends + online learning covering analytics tools and techniques and their application in business. PG Program in Big Data Analytics (PGP-BDA): 12-month program with classroom training on weekends + online learning covering big data analytics tools and techniques, machine learning with hands-on exposure to big data tools such as Hadoop, Python, Spark, Pig etc. PGP-Data Science & Engineering: 6-month weekend and classroom program allowing participants enables participants in learning conceptual building of techniques and foundations required for analytics roles. PG Program in Cloud Computing: 6-month online program in Cloud Computing & Architecture for technology professionals who want their careers to be cloud-ready. Business Analytics Certificate Program (BACP): 6-month online data analytics certification enabling participants to gain in-depth and hands-on knowledge of analytical concepts. About Great Learning: Great Learning is an online and hybrid learning company that offers high-quality, impactful, and industry-relevant programs to working professionals like you. These programs help you master data-driven decision-making regardless of the sector or function you work in and accelerate your career in high growth areas like Data Science, Big Data Analytics, Machine Learning, Artificial Intelligence & more. Watch the video to know ''Why is there so much hype around 'Artificial Intelligence'?'' https://www.youtube.com/watch?v=VcxpBYAAnGM What is Machine Learning & its Applications? https://www.youtube.com/watch?v=NsoHx0AJs-U Do you know what the three pillars of Data Science? Here explaining all about thepillars of Data Science: https://www.youtube.com/watch?v=xtI2Qa4v670 Want to know more about the careers in Data Science & Engineering? Watch this video: https://www.youtube.com/watch?v=0Ue_plL55jU For more interesting tutorials, don't forget to Subscribe our channel: https://www.youtube.com/user/beaconelearning?sub_confirmation=1 Learn More at: https://www.greatlearning.in/ For more updates on courses and tips follow us on: Google Plus: https://plus.google.com/u/0/108438615307549697541 Facebook: https://www.facebook.com/GreatLearningOfficial/ LinkedIn: https://www.linkedin.com/company/great-learning/ - Follow our Blog: https://www.greatlearning.in/blog/?utm_source=Youtube Great Learning has collaborated with the University of Texas at Austin for the PG Program in Artificial Intelligence and Machine Learning and with UT Austin McCombs School of Business for the PG Program in Analytics and Business Intelligence.
Views: 4456 Great Learning
Hands On Machine Learning with Scikit Learn and Tensorflow published by O'Reilly and written by Aurelien Geron could just be the best practical book on machine learning. In this review I explain why. ►Subscribe to my YouTube Channel http://bit.ly/2LCdOy1 You can buy the book at my Amazon store https://www.amazon.com/shop/pythonprogrammer Video explanations of popular interview questions: http://algoexpert.io/giles (use code "giles" for a discount) - this is an affiliate link. Music: www.bensound.com
Views: 253697 Python Programmer
Preparing for Technical Interviews? This is what I used to get job offers at Facebook/Google/Microsoft/Amazon: http://algoexpert.io/joma Use code "joma" for a 30% discount. Ends Soon! Sign up for daily interview questions at https://www.dailycodingproblem.com/joma Use coupon code "joma" for $10 off What is Data Science? https://youtu.be/8LucP1wiX1g ►Free Resume/Cover Letter Template For Members! Join Here: https://www.youtube.com/channel/UCV0qA-eDDICsRR9rPcnG7tw/join ►JomaSwag Merch https://jomaswag.com/ ►Music I use: http://share.epidemicsound.com/lSSdb - (For YouTubers) ►Chat with me https://discord.gg/H52kZHe ►TWITTER/INSTAGRAM/FACEBOOK @jomaoppa FILM STUFF AMAZON LINKS Computer Monitor - https://amzn.to/2shaJer Laptop - https://amzn.to/2GN6IqD MAIN Camera - http://amzn.to/2Fs1JeX Main Lens - http://amzn.to/2IkeYwm Wide lens - http://amzn.to/2DgzIRD Mic I use - http://amzn.to/2p8gZmj Vlogging Camera - http://amzn.to/2FFuPah Gorilla Pod - http://amzn.to/2oZZeX8 Drone - http://amzn.to/2FzatMy GoPro HERO 5 - http://amzn.to/2Ghgmir Snowball Mic - http://amzn.to/2Gh8P3i Traveling? Get $55 off AirBnb: https://www.airbnb.com/c/jma366?currency=USD
Views: 368834 Joma Tech
Filmed at PyData London 2017 www.pydata.org Description In this highly interactive session, you will learn how to leverage Apache Spark, Amazon Elastic Map Reduce (EMR) and Apache Zeppelin to rapidly mine a large real-world data set. You will learn how to apply common Spark patterns to extract insights as well as learn useful performance and monitoring tips. Abstract You may have been hearing a lot of buzz around Big Data, Apache Spark, Amazon Elastic Map Reduce (EMR) and Apache Zeppelin. What’s the fuss about, and how can you benefit from these state of the art technologies? In this highly interactive session, you will learn how to leverage Spark to rapidly mine a large real-world data set. We will conduct the analysis live entirely using an iPython Notebook to show you how easy it can be to get to grips with these technologies. In the first part of the session, we will use a sample of data from the Open Library dataset, and you will learn how to apply common Spark patterns to extract insights and aggregate data. In the second part of the session, you will see how to leverage Spark on Amazon EMR to scale your data processing queries over a cluster of machines and interactively analyse a large data set (100GB) with a Zeppelin Notebook. Along the way you will learn gotchas as well as useful performance and monitoring tips. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. We aim to be an accessible, community-driven conference, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 543 PyData
Amazon Rekognition is a service that makes it easy to add image analysis to your applications. In this webinar you’ll learn how to detect objects, scenes, and faces in images. This webinar will also introduce Rekognition’s ability to search and compare faces. You’ll also be introduced to Rekognition’s API, which enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications. Learning Objectives: • Learn about the capabilities and features of Amazon Rekognition • Learn about the benefits of Amazon Rekognition • Learn about the different use cases • Learn how to get started using Amazon Rekognition • Understand what is included in the AWS Free Tier and how to estimate usage costs
Views: 9705 AWS Online Tech Talks
Full course: https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on/?couponCode=DATATUBE A comprehensive, 9-hour course with 68 lectures and lots of hands-on Python notebooks to play with. An ex-Amazon, ex-IMDb engineer guides you through all of the major data mining and machine learning techniques using Python, such as clustering, regression, Apache Spark's MLLib, train/test, experimental design, decision trees, TF/IDF, Bayesian methods, and much, much more.
Views: 2658 Frank Kane