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🔥Highlighting the top ML papers every week.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
🏅 Collection of Kaggle Solutions and Ideas 🏅
List of Data Science Cheatsheets to rule the world
📺 Discover the latest machine learning / AI courses on YouTube.
A list of public machine learning/data science/AI contests.
Your new Mentor for Data Science E-Learning.
Set of 📝 with 🔗 to help those who are Data Science beginners 🤖
✅ Curated list of resources for college students
Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA
This repo contains the Applied Ai Course Assignments
Winners solutions for [WNS Analytics Wizard 2018](https://datahack.analyticsvidhya.com/contest/wns-analytics-hackathon-2018/)
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
General Assembly's Data Science course in Washington, DC
General Assembly's 2015 Data Science course in Washington, DC
Notes and exercise attempts for "An Introduction to Statistical Learning"
ujjwalkarn / awesome-R
Forked from qinwf/awesome-RA curated list of awesome R frameworks, packages and software.
Attempting to make the Deep Learning Book easier to understand.
Curated list of project-based tutorials
A searchable compilation of Kaggle past solutions
Notes from books and other interesting things that I've read. Table of contents at the end 👇
Naive Bayes Classifier with stop words | Naive Bayes Classifier without stop words | Binary Naive Bayes Classifier