Python: 3 books in 1- Your complete guide to python programming with Python for Beginners, Python Data Analysis and Python Machine Learning - Couverture rigide

Ellison, Brady

Couverture rigide

ISBN 13 : 9798410698016

Editeur : Independently published, 2022

Synopsis

THIS BOOK INCLUDES :
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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Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2022
• Langue: anglais
• ISBN 13: 9798410698016
• Reliure: Relié
• Nombre de pages: 472
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible