Supervised Learning Cheat Sheet

In Supervised Learning, model learns from the training examples given with labels and predict the label for the test data. There are two types of Supervised Learning Technique:

1) Classification
2) Regression

Examples of Supervised Learning are Linear Regression for regression problems, SVM (Support Vector Machine) for classification problems, Random Forest for classification and regression problems.

This Cheat Sheet covers following in brief:

  • Linear Regression
  • Generative Linear Model
  • Classification and Logistic Regression
  • Support Vector Machine
  • Gaussian Discriminant Analysis
  • Tree-based and ensemble methods
  • Naive Bayes
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