Machine learning and data analysis

This repository is a compilation of code snippets used in machine learning courses
and books, covering topics such as numpy, pandas, scikit, keras and pytorch python libraries.

The books used to create this repository include:

• Python Data Science Handbook by Jake VanderPlas
  
• Data Science from Scratch First Principles with Python by Joel Grus
  
• Deep Learning With Python by Francois Chollet (Keras)
  
• Deep learning with PyTorch by Eli Stevens, Luca Antiga, Thomas Viehmann
  

These books are considered some of the best resources available for learning about data science and machine learning, and they cover a wide range of topics that are essential for anyone looking to become proficient in the field.

Disclaimer: The code snippets included in this repository were not created by the author of this summary, but rather compiled from various sources including machine learning courses and books.