From 3ea93f1f678f44ba220cfe13f50c846ce61b3f6f Mon Sep 17 00:00:00 2001 From: Eugene Kozlov Date: Sun, 19 May 2024 00:10:33 +0300 Subject: [PATCH] Initial commit --- README.md | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..7ecc0a2 --- /dev/null +++ b/README.md @@ -0,0 +1,33 @@ +# 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)