Would you like to program apps, games, softwares and much more but don't know how ?
Do you see all those Machine Learning Algorithms but getting nowhere? Don't give up hope!
This bundle gives you the oportunity to learn in a simple way the tools to handle your own data with the right algorithm.
You will discover both Python programming and Machine Learning which, combined, will give you the ability to create some of the best data analysis that you need.
Even if you have never used this programs before, with this guidebooks you will be able to do that in no time at all.

2 books in 1

In Python for Beginners You Will Learn:

The Python language
Data and variables
Control flow tools
The files
A look at the classes
Creating your own modules
The regular expressions
Networking
The process of multithreading
The way to access databases with Python
How GUI programming works

In Python Machine Learning You Will Learn:

The basics of machine learning and why it is so important to learn.
The importance of data and how to use these in machine learning.
Some of the supervised learning algorithms that work with regressions.
How to work with regularization and avoid the issue of overfitting.
Some of the best-supervised learning algorithms of classification.
How to work with non-linear classification models.
The different validation and optimization techniques that you can use to make sure your algorithms respond the way that you want them to.
Moving on to some unsupervised machine learning that we can use, and the best clustering algorithms along the way.
A look at the Principal Component Analysis and the Linear Discriminant Analysis and how they compare to one another.