machine-learning-study

Implementation of Random Forest Classifier and Decision Tree Classifier using Iris Dataset

Univariate And Multiple Variable Linear Regression

Supervised Learning

• Random Forest
• Decision Trees
• Support Vector Machines
• Logistic Regression
• Linear Regression
• Naive Bayes
• K-nearest neighbor
• Neural Network

Unsupervised learning

• K-means

Machine Learning Glossary

ML Glossary

Basic Concepts

Bias and Variance

Shannon Entropy and Information Gain

Variance, Covariance, EigenVector and EigenValue

Introduction to PCA (how PCA can be used to find orientation of objects)

Regularization

Overfitting and Regularization in Neural Networks

Machine Learning OverView

ML Cheat Sheet

Artificial Intelligence Hierarchy

source: Deep Learning book by Ian Goodfellow