Data Science from Scratch: First Principles with Python

Description

Data Science from Scratch: First Principles with Python.

Build a Strong Foundation in Data Science by Understanding How It Works

True mastery of data science goes beyond learning libraries and frameworks—it requires understanding the algorithms and mathematical principles that power them. Data Science from Scratch takes a practical, hands-on approach by teaching you how to build core data science tools and techniques from the ground up using Python.

Updated for Python 3.6, this edition helps you develop both the programming skills and mathematical intuition needed to work confidently with real-world data. Rather than relying solely on prebuilt libraries, you’ll implement key algorithms yourself, giving you a deeper understanding of how modern data science solutions operate.

Whether you’re an aspiring data scientist, software developer, or analytics enthusiast, this book provides a clear path from fundamental concepts to practical applications. Along the way, you’ll strengthen your knowledge of mathematics, statistics, machine learning, and data processing while working through realistic examples and exercises.

Inside this book, you’ll learn how to:

• Build a solid foundation in Python for data science.
• Understand the essentials of linear algebra, probability, and statistics.
• Collect, clean, transform, and analyze real-world datasets.
• Explore data through visualization and exploratory analysis.
• Learn the core principles of machine learning.
• Implement popular algorithms, including k-nearest neighbors, Naïve Bayes, linear and logistic regression, decision trees, neural networks, clustering, and more.
• Work with recommender systems, natural language processing, network analysis, databases, and MapReduce concepts.

With its emphasis on learning by building, Data Science from Scratch equips you with the knowledge needed to understand the “why” behind the tools, making it an invaluable resource for anyone looking to develop practical, long-lasting data science skills.