Data Science Project: Scraping YouTube Data using Python and Selenium to Classify Videos
This article was submitted as part of Analytics Vidhya’s Internship Challenge. Introduction I’m an avid YouTube user. The sheer amount of content I can …
machine learning
Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify
Introduction I love descriptive statistics. Visualizing data and analyzing trends is one of the most exciting aspects of any data science project. But what …
Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition)
Analytics Vidhya’s pick of the top 5 data science-related GitHub repositories and Reddit discussions from April 2019 for every data scientist.
Last Chance to Register on our Flagship Program – AI & ML BlackBelt
Introduction In the last 6 years – we have helped millions of users in learning data science, we helped hundreds of companies across the …
Winning Solutions and Approaches from the Machine Learning Hikeathon: Feature Engineering Special!
Check out the top 3 winning soltuions from the popular ML Hikeathon hosted by Analytics Vidhya and Hike!
Predicting Movie Genres using NLP – An Awesome Introduction to Multi-Label Classification
Learn how to build a NLP multi-label classification model for predicting movie genres. This is an awesome Natural Language Processing (NLP) challenge!
8 Useful R Packages for Data Science You Aren’t Using (But Should!)
Check out these 8 amazing R packages you should be using in your machine learning project but haven’t heard of yet! Code plus examples included.
DataHack Radio #21: Detecting Fake News using Machine Learning with Mike Tamir, Ph.D.
Introduction Fake news is one of the biggest scourges in our digitally connected world. That is no exaggeration. It is no longer limited to …
Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019
Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop …
DataHack Radio #20: Building Interpretable Machine Learning Models with Christoph Molnar
This DataHack Radio episode with Christoph Molnar looks at interpretable machine learning and it’s importance.
