Neill Lena. Python Machine Learning for Beginners: A Step by Step Approach to Scikit-Learn TensorFlow

Independently published, 2024. — 84 p.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.Python.
Start learning Python.
Working with data.
Working with data visualization.
Predictive analytics.
Working with algorithms.
Machine Learning algorithms.
Regression trees and cart.
Random forests.
Overview of neural networks, Big Data, the Internet of Things (IoT), and cloud computing.