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Carefully curated resource links for data science in one place

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This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

An open source book to learn data science, data analysis and machine learning, suitable for all ages!

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

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This is a tutorial for PyTorch Geometric on the YooChoose dataset

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A free sports API written for python

A simple from-scratch neural net written in Go

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

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Gender recognition by voice and speech analysis

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A PureScript, browser-based implementation of simple linear regression.

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PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

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An Open Source, Self-Hosted Platform For Applied Deep Learning Development

Shōgun

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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Human-explainable AI.

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High-quality implementations of standard and SOTA methods on a variety of tasks.