Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle.

Would you like to become a Python geek? Or do you want to learn more about the fascinating world of Machine Learning an Data Science? Well, the solution is right in front of you!

With this bundle in your hands, you’ll go from beginner to pro in no time. These books and guides are specifically designed for people that have little or no prior knowledge about Python Programming.

Everything inside is designed to be step-by-step, so you can have an easier time understanding the concepts around it.

This comprehensive bundle contains everything you’ll need to know to successfully implement Data Science techniques and Machine Learning algorithms through Python. From basic tutorials and exercises to expert coding techniques.

In book one, PYTHON FOR BEGINNERS, you will learn:

How to install Python

What are the different Python Data Types, Variables and Basic Operators

Data Structures, Functions and Files

Conditional and Loops in Python

Object-Oriented Programming (OOP), Inheritance and Polymorphism

Essential Programming Tools and Exception Handling

And Much More!

In book two, PYTHON FOR DATA ANALYSIS, you will:

Learn the Fundamentals of Data Analysis and why Businesses are Investing in this Sector

Master the 5 steps of a Proper Data Analysis

Know what are the 7 Python libraries that make Python one of the best choices for Data Analysis

Learn how Data Visualization and Matplotlib can help You to Understand the Data you are Working with

Learn about some of the Main Industries that are Using Data to Improve their Business with 14 real-world Applications

And Much More!

In book three, PYTHON MACHINE LEARNING, you will understand:

What are the Basics of Machine Learning and how it is Applied in real-world Situations

What is the Difference between Machine Learning, Deep Learning, and Artificial Intelligence

How to Implement Machine Learning Training Models, Regression Techniques and Linear Regression in Python

How to use Lists and Modules in Python

What are the 12 Essential Libraries for Machine Learning in Python

How to Correctly use Artificial Neural Networks

And Much More!

And in book four, PYTHON DATA SCIENCE, you will discover:

What Data Science is all about and why so many Companies are Using it to get a Competitive Edge.

The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with Practical Codes and Exercises

The 7 Most Important Algorithms and Models in Data Science

Data Aggregation, Group Operations, Databases and Data in the Cloud

9 important Data Mining techniques in Data Science

And So Much More!

It doesn’t matter if you are a beginner, or you never have coded before. This guide will slowly ease you into the world of Data Science. While most of the other similar books put the focus on theory and complicated concepts, this one is designed specifically for beginners.

Furthermore, topics are carefully selected to give you broad exposure, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.

Ready to Master Python, Machine Learning and Data Science?

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