CCMACLRL

Introduction to machine learning

This repository contains all of the python code implementations of each topic in the course outline for introduction to machine learning.

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

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
01-knn		01-knn
02-linear-regression		02-linear-regression
03-multiple-linear-regression		03-multiple-linear-regression
04-midterms		04-midterms
05-logistic-regression		05-logistic-regression
06-naive-bayes		06-naive-bayes
07-support-vector-machine		07-support-vector-machine
08-ensemble-learning-and-random-forest		08-ensemble-learning-and-random-forest
_MACHINE_LEARNING_LECTURE		_MACHINE_LEARNING_LECTURE
_PYTHON_LECTURE		_PYTHON_LECTURE
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md