Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn and TensorFlow

✍ Scribed by LENA NEIL

• Publisher: Independently Published
• Year: 2023
• Tongue: English
• Leaves: 108
• Category: Library

✦ Synopsis

Do you find yourself unsure of how to apply your existing knowledge to Python?
If you are a beginner programmer who wants to learn Python Machine Learning, this book is for you.

This book will help you understand how to use Python to apply your existing skills to machine learning problems.

Machine learning is a fascinating and powerful field that uses machines to learn from data and perform tasks that humans cannot do easily.

In this book, you will learn about

The basics and history of machine learning
The different types of machine learning methods
How to use support vector machines to classify data
How to build neural networks to model complex patterns
How the Internet of Things (IoT) connects machines and devices
What the future of machine learning looks like
And much more…
This book is designed for beginners, with simple and clear explanations and step-by-step examples. It will help you get started with Python Machine Learning and discover its amazing potential.

✦ Table of Contents

Introduction
Chapte,r 1: python
Chapte,r 2: start le,arning python
Chapte,r 3: working with data
Chapte,r 4: working with data visualization
Chapte,r 5: pre,dictive, analytics
Chapte,r 6: working with algorithms
Chapte,r 7: machine, le,arning algorithms
Chapte,r 8: re,gre,ssion tre,e,s and cart
Chapte,r 9: random fore,sts
Chapte,r 10: ove,rvie,w of ne,ural ne,tworks, big data, the, inte,rne,t of things (iot), and cloud computing
Conclusion
Re,fe,re,nce,s