Data Science from Scratch Reviews and details

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Features & Specs

1. Hands-On Learning

   The book encourages a practical approach to learning data science by implementing algorithms and concepts from scratch, helping readers understand the underlying mechanics.

2. Comprehensive Coverage

   It covers a wide range of fundamental topics in data science such as statistics, data visualization, linear algebra, and machine learning, providing a solid foundation.

3. Python-Based

   Since the book is centered around Python, a popular programming language in data science, it is accessible to a large audience already familiar with Python.

4. Developer-Friendly

   The content is ideal for developers looking to transition into data science, as it focuses on programming and algorithmic aspects of data science.

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