Machine_learning material

This repository contains various materials for exploring machine learning algorithms. It is organized into two main folders:

1. Introduction to python

• Introduction (overview)
• Numpy (overview)
• Pandas (overview)
• Matplotlib (overview)
• Seaborn (overview)

2. Machine learning algorithms

• Introduction
• Naive Bayes Classification
• Linear regression
• Support Vector Machines
• Decision Trees and Random Forests
• Principal componen analysis
• K-means clustering

These materials are based on Python Data Science Handbook