Wizner W. Python programming for beginners (3 books in 1)

Amazon, 2020. – 253 p.
This book is perfect for beginners because it will take you through everything you need to know, step-by-step. No stone left unturned, but we will keep the new info coming in a steady, organized, and easy-to-follow stream.
Here’s what you’ll learn in this book:
History of Python and the internal logic of the language
How to install Python on various different platforms
All the most important features of the language with exercises
What is Data Science and Analysis and how Python plays into that
How to use Python for model building, data visualization, and feature extraction
Big Data and its applications in the future modern world
Learning framework and generalization models for Machine Learning
How to use Scikit-Learn and understand tabular data and target arrays
Python for Machine Learning and data mining categories
How convolutional neural networks work
Top 10 AI and Machine Learning frameworks to learnPython for beginnersPython Installation
Python for Machine Learning
Data Scrubbing
Data Mining Categories
Difference Between Machine Learning and AI
K-Means Clustering
Linear Regression with Python
Feature Engineering
How Do Convolutional Neural Networks Work?
Top AI Frameworks and Machine Learning Libraries
The Future of Machine Learning
Python for DataScience
Structured Data
Unstructured Data
Natural Language Data
Machine Generated Data
Graph-based Data
Audio, Video, and Image Data
Streaming Data
Machine Learning with Python
Python Installation
Data Scrubbing
Difference Between Machine Learning and AI
K-Means Clustering
Linear Regression with Python
Feature Engineering
How Do Convolutional Neural Networks Work?
The Future of Machine Learning