Top 10 GitHub Repositories for Learning Statistics & Probability
Statistics and probability are fundamental to data science, machine learning, and various fields of scientific research. Understanding these concepts is essential for making informed decisions based on data, conducting experiments, and building predictive models. However, learning these topics can sometimes be overwhelming due to the sheer amount of theory and applied techniques involved.
GitHub offers an invaluable resource for learners, providing access to open-source repositories that cover both theoretical and practical aspects of statistics and probability.
In this blog, we present a curated list of the top 10 GitHub repositories designed to help you learn and apply these essential concepts. From comprehensive libraries like Statsmodels and TensorFlow Probability to interactive tools like Seeing Theory and VIP cheatsheets, these repositories offer a variety of ways to deepen your understanding.
Each repository in this list includes hands-on examples, code snippets, Jupyter notebooks, and tutorials, making it easier for learners to grasp complex topics such as Bayesian inference, machine learning, statistical modeling, and more.
Whether you’re a beginner or looking to refine your skills, this article will guide you to the best GitHub resources available for mastering statistics and probability.
