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Data Science from Scratch

First Principles with Python
by: Joel Grus

The book introduces fundamental concepts of data science, such as statistics, probability, and machine learning algorithms, using Python code examples. It provides a hands-on approach to learning by building tools and models from scratch, aiming to give readers a deeper understanding of how data science methods work under the hood.

Key points:

1. Data Exploration: The book highlights the importance of understanding data through visualization, summary statistics, and correlation analysis before using complex algorithms.

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