Machine-Learning

Building and testing various Machine-Learning models. Models based on:-

Also contains all the exercies and solutions of the Stanford University ML Course on Coursera. Taught by Andrew Ng

CHANGE MADE IN MASTER

Name		Name	Last commit message	Last commit date
1.Data Preprocessing		1.Data Preprocessing
10.Model Selection & Boosting		10.Model Selection & Boosting
2.Regression		2.Regression
3.Classification		3.Classification
4.Clustering		4.Clustering
5.Association Rule Learning/Section 28 - Apriori		5.Association Rule Learning/Section 28 - Apriori
6.Reinforcement Learning		6.Reinforcement Learning
7.Natural Language Processing/Section 36 - Natural Language Processing		7.Natural Language Processing/Section 36 - Natural Language Processing
8.Deep Learning		8.Deep Learning
9.Dimensionality Reduction		9.Dimensionality Reduction
Churn_model_RandomForest_CAP_curve		Churn_model_RandomForest_CAP_curve
Machine Learning Stanford Courseera		Machine Learning Stanford Courseera
README.md		README.md

Navigation Menu