Glossary

Key Points

Introduction to Machine Learning	Basic Machine Learning
Introduction to Caret	Caret
Data Partition with caret	Caret
Evaluation Metrics with caret	Caret
Training Machine Learning model using Regression Method	Regression training
Training Machine Learning model using Tree-based model	Decision Tree, Random Forest
Training Machine Learning model using Ensemble approach	Bagging, Boosting
Training Machine Learning model using Model based Prediction	Naive Bayes, Linear Discriminent Analyst
Regularization and Variable Selection	Regularization, Ridge Regression, LASSO, Elastic Nets
Dimension Reduction	PCA
Neural Network	ANN
Support Vector Machine	SVM
K-Nearest Neighbour	KNN
Unsupervised Learning	K-mean
Mini-Project	Self-project

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