This repository contains all of the python code implementations of each topic in the course outline for introduction to machine learning.
Course Outline: https://believed-bongo-319.notion.site/CCMACLRL-0039e9d93e324e7caa2245a93817fac9?pvs=4
| Topic |
|---|
| Basic Python, Pandas, matplotlib |
| Introduction to Machine Learning |
| K Nearest Neighbors |
| Simple Linear Regression |
| Multiple Linear Regression |
| Logistic Regression |
| Naive Bayes |
| Support Vector Machine |
| Decision Trees |
| Ensemble Learning and Random Forest |