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

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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

The Topics Covered Include:

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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