5 Free Books to Master Data Science

Here are 5 free books to master data science:

Python for Data Analysis Python for Data Analysis is a great introduction to Python programming for data science. It covers everything from basic data structures and algorithms to more advanced topics such as data visualization and machine learning.

Hands-On Machine Learning with Scikit-Learn and TensorFlow Hands-On Machine Learning with Scikit-Learn and TensorFlow is a comprehensive guide to machine learning with Python. It covers a wide range of machine learning algorithms, from linear regression to deep learning. It also includes many code examples and exercises.

Deep Learning with Python Deep Learning with Python is a comprehensive guide to deep learning with Python. It covers everything from the basics of neural networks to more advanced topics such as convolutional neural networks and recurrent neural networks. It also includes many code examples and exercises.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan Statistical Rethinking: A Bayesian Course with Examples in R and Stan is a great introduction to Bayesian statistics. It covers the basics of Bayesian statistics, such as Bayes' theorem and Markov chain Monte Carlo (MCMC) methods. It also includes many code examples and exercises.

Introduction to Statistical Learning Introduction to Statistical Learning is a comprehensive guide to statistical learning. It covers a wide range of statistical learning topics, from linear regression to support vector machines. It also includes many code examples and exercises.

This is just a small sample of the many great books that are available for computer science students. The best books for you will depend on your interests and your level of experience. But no matter what your level, these books are a great place to start your journey into computer science.

Thank you