Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning (Programming Languages for Beginners)
Language: English
Published by Independently published, 2022
- Softcover
- Used

Seller: WorldofBooks, Goring-By-Sea, WS, United KingdomWorldofBooks
AbeBooks seller since March 16, 2007
Condition: Used - Very good
US$ 27.84
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- Title
- Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning (Programming Languages for Beginners)
- Author
- Ellison, Brady
- Publisher
- Independently published
- Publication year
- 2022
- Condition
- Very Good
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798410698016
- Item weight
- 871 grams
- Series
- Book 4 of 5: Programming Languages for Beginners
Python for Beginners: A crash course to learn Python Programming in 1 Week
Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython
Python Machine Learning: A Step by Step Beginner’s Guide to Learn Machine Learning Using Python
Here's what you'll learn through this book:
Python for Beginners
In this book You will learn:
- Getting started with the basics
- Statements, Comments, Variables, Index
- Data Types: Strings and Numbers
- Data Types: List and Tuple
- Data Types: Set and Dictionary
- Operators
- Functions
- Loops
- Python Practice Projects
- and much more
Python for Data Analysis
In this book You will learn:
- Data Science/Analysis and its applications
- IPython and Jupyter - an introduction to the basic tools and how to navigate and use them. You will also learn about its importance in a data scientist’s ecosystem.
- Pandas - a powerful data management Python library that lets you do interesting things with data. You will learn all the basics you need to get started.
- NumPy - a powerful numerical library for Python. You will learn more about its advantages.
Python Machine Learning
In this book You will learn:
- Machine learning fundamentals
- How to set up the development environment
- How to use Python libraries and modules like Scikit-learn, TensorFlow, Matplotlib, and NumPy
- How to explore data
- How to solve regression and classification problems
- Decision trees
- k-means clustering
- Feed-forward and recurrent neural networks
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WorldofBooks
Goring-By-Sea, WS, United Kingdom
AbeBooks seller since March 16, 2007
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