Machine Learning

Course materials for Machine Learning

Course Materials

📚 Lectures

Introduction to Machine Learning

Types of learning, supervised vs unsupervised learning, model evaluation

Slides Video Notes
Linear Regression and Gradient Descent

Linear models, cost functions, gradient descent optimization

Slides Video
Classification: Logistic Regression and SVM

Binary and multiclass classification, support vector machines

Slides Notes

📝 Assignments

Assignment 1: Linear Regression

Implement linear regression from scratch and analyze performance

Due: October 15, 2024
Assignment Solution
Assignment 2: Classification

Compare logistic regression and SVM on real datasets

Due: November 1, 2024
Assignment
Final Project

End-to-end machine learning project with your choice of dataset

Due: December 15, 2024
Assignment

📖 Resources

Pattern Recognition and Machine Learning

Christopher Bishop - Comprehensive ML textbook

Access
scikit-learn Documentation

Python machine learning library with examples and tutorials

Access
Coursera ML Course

Andrew Ng's Machine Learning course for additional reference

Access
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