Analytics Vidhya’s pick of the top 5 data science-related GitHub repositories and Reddit discussions from April 2019 for every data scientist.
Learn how to build a NLP multi-label classification model for predicting movie genres. This is an awesome Natural Language Processing (NLP) challenge!
Learn what is deep Q-learning, how it relates to deep reinforcement learning, and then build your very first deep Q-learning model using Python!
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.
Introduction GitHub repositories and Reddit discussions – both platforms have played a key role in my machine learning journey. They have helped me develop …
Temporal difference learning is one of the core reinforcement learning concepts. Learn how it works, how it relates to Q-learning, & code it in Python!
Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation
Presenting an intuitive and easy-to-use R package to enhance credit risk scoring and validation! THis article contains comprehensive R code as well.
This article contains tips, tricks & resources to help you land your first data science internship! It’s the most comprehensive internship guide you’ll find
PyOD is an awesome outlier detection library. In this article, we will understand the concept of outlier detection and then implement it using PyOD.
We welcome Professor B. Ravidran to talk about his passion for reinforcement learning, the current state of the field, and how it all actually works!