Matthes A., Tacke J. Python Programming: 3 Menuscripts Crash Course Coding With Python Data Science (3 Books in 1)

Independently published, 2020. — 222 p. — ISBN B08F5LNJPS.3 Books in 1!

This book is the perfect guide for people who want to learn about Phyton programming, in particular its application for data science.There are so many great ways that you can use the data you have been collecting for some time now, and being able to complete the process of data visualization will ensure that you get it all done, when you are ready to get started with Python data science.This guidebook contains:What Is Data Science And Why Should You Learn It Using Python
Can I Use Probability And Statistics To Help Me With Machine Learning?
Work With Numpy
Work With Pandas
Learning About Functions
Identifying The Nearest Neighbors
Learning About Functions
Deep Learning Vs Machine Learning
Applications Of Big Data Analysis
And many more!3 Menuscripts:

Python Crash CourseWhat Is Python and Why Should You Learn It
Variables and Operators
Learn About Simple Data Types
Conditional Statements in Python and Control Flow Statements
Working With Functions
Object-Oriented Programming
Working with Files
Python From Scratch
How Coding Works
Python Libraries
Getting Program Functioning to WorkCoding With PythonPhython Programming Basics
What Is Scikit-Learn, and Why Should I Learn About It?
Essential Libraries And Tools In Python
Learn Modules
Machine Learning Datasets
Training Simple Machine Learning Algorithms for Classification
Unsupervised Machine Learning
Learning in Artificial Neural Networks
The Perceptron
Execution and Repetitive Tasks
Variables and StringsPython Data ScienceWhat Is Data Science And Why Should You Learn It Using Python
Statistics and Probability
Work With Numpy
Work With Pandas
Learning About Functions
Developing a Machine Learning Model with Python
Identifying the Nearest Neighbors
Deep Learning vs Machine Learning
Other Basics of the Python Code
Modules
Applications of Big Data Analysi