October 2016
Beginner
378 pages
8h 21m
English
Overview
Get familiar with the landscape of Python for data science with "Python Data Science Essentials." This book offers a well-rounded guide through the core techniques of data science explored via Python tools and methods. You will learn practical techniques for data preprocessing, machine learning, visualization, and deployment that serve common data science needs.
What this Book will help me do
- Set up a Python data science environment and toolbox efficiently.
- Prepare data for exploration, analysis, and machine learning applications.
- Understand and implement principal machine learning algorithms effectively.
- Create meaningful and insightful visualizations of data using Python libraries.
- Optimize machine learning models to improve predictive accuracy.
Author(s)
Luca Massaron and Alberto Boschetti bring their extensive experience in data science, machine learning, and programming to this book. Both authors have decades of industry experience and a passion for teaching concepts effectively. Their combined expertise ensures readers gain practical insights and valuable tips while also diving deep into data science methodologies.
Who is it for?
This book is perfect for aspiring data scientists with a working knowledge of Python and basic data analysis concepts. It also caters to data analysts transitioning from tools like R or MATLAB to Python. Readers should have a desire to understand how to use advanced Python libraries for real-world data science projects.
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