1239 Open source projects that are alternatives of or similar to Michael S Data Science Curriculum

R package to interface with OpenML

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Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.

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EPFL summaries & cheatsheets over 5 years (computer science, communication systems, data science and computational neuroscience).

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High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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📚 An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.

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🍧 A repository that contains courses I have taken on DataCamp

Carefully curated resource links for data science in one place

eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.

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Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

A Python package for building Bayesian models with TensorFlow or PyTorch

Visualize and compare datasets, target values and associations, with one line of code.

PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course

Survival analysis in Python

Notes for Deep Learning Specialization Courses led by Andrew Ng.

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

A resource list for causality in statistics, data science and physics

Probabilistic reasoning and statistical analysis in TensorFlow

Python library for identifying the peaks and valleys of a time series.

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

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

Tools for loading standard data sets in machine learning

Virgilio is developed and maintained by these awesome people. You can email us virgilio.datascience (at) gmail.com or join the Discord chat.

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Labs for the Foundations of Applied Mathematics curriculum.

Human-explainable AI.

Curated list of Python resources for data science.

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Free Resources For Data Science created by Shubham Kumar

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Probably the best curated list of data science software in Python.

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

My Answer to 120 Data Science Interview Questions