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abstractart committed Jul 13, 2024
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# learn-data-science-and-machine-learning

## Mathematics
- [(Book, Free) Mathematics for Machine Learning](https://mml-book.github.io/)
- [(Book, Free) A Programmer's Introduction to Mathematics](https://pimbook.org/)

## Python Tools
- [(GitHub) Scientific Visualization: Python + **Matplotlib**](https://github.com/rougier/scientific-visualization-book)
- [(GitHub) 100 **numpy** exercises (with solutions)](https://github.com/rougier/numpy-100)
- [(GitHub) Practice your **pandas** skills!](https://github.com/guipsamora/pandas_exercises)

## Learn SQL
- [(Book, Free) PostgreSQL. Основы языка SQL](https://postgrespro.ru/education/books/sqlprimer)
- [(Online, Free) PostgreSQL Exercises](https://pgexercises.com/)
- [(Online, Free) Интерактивный учебник по SQL](http://www.sql-tutorial.ru/) и [(Online, Free) Упражнения по SQL](https://sql-ex.ru/?Lang=0)

## Classic Machine Learning
- [(Online, Free) Учебник по машинному обучению от ШАД](https://education.yandex.ru/handbook/ml)
- [(Online, Free) mlcourse.ai - open Machine Learning course by OpenDataScience (ods.ai)](https://mlcourse.ai/book/index.html)
- [(Book, Free) Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/)


## Deep Learning
- [(Book, Free) Deep Learning, book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville](https://www.deeplearningbook.org)
- [(Book, Free) Neural Networks and Deep Learning by Michael Nielsen](http://neuralnetworksanddeeplearning.com)


## Statistical Learning
- [(Book, Free) An Introduction to Statistical Learning with applications in R/Python](https://www.statlearning.com/)


## Bonus
- [Short Kaggle Courses about all related topics](https://www.kaggle.com/learn)

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