ML-Coursera

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

• Written in Python3 using Jupyter Notebook.
• Explains the derivations in detail.
• Discusses few topics (not covered in course)in detail.
• Mainly uses pandas and numpy library.
• Zero use of sklearn and like libraries.

Course : Machine Learning (Stanford University)

List of exercises :

• Exercise 1 : Linear Regression
• Exercise 2 : Logistic Regression
• Exercise 3 : Multi-class Classification and Neural Networks
• Exercise 4 : Neural Networks Learning
• Exercise 5 : Regularized Linear Regression and Bias v.s. Variance
• Exercise 6 : Support Vector Machines
• Exercise 7 : K-means Clustering and Principal Component Analysis
• Exercise 8 : Anomaly Detection and Recommender Systems