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Chapters

  • Course Outline
  • Introduction to Machine Learning
  • Supervised Learning: Regression
  • Supervised Learning: Classification
    • Introduction to Classification
    • Logistic Regression
    • K-Nearest Neighbour (KNN)
    • Naive Bayes
    • Decision Trees
    • Support Vector Machine (SVM)
    • Recommendation Systems
  • Unsupervised Learning
  • Unit 5: Trends and Applications
  • Unit 6: Advanced Topics & MLOps (Bonus)

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Machine Learning

Supervised Learning: Classification

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Supervised Learning: Classification

This unit focuses on classification, a type of supervised learning where the goal is to predict categorical class labels. We will cover a range of algorithms from Logistic Regression and KNN to Support Vector Machines and Recommendation Systems.

Unit Topics

Introduction to ClassificationLogistic RegressionK-Nearest Neighbour (KNN)Naive BayesDecision TreesSupport Vector Machine (SVM)Recommendation Systems
Supervised Learning: RegressionUnsupervised Learning
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