MLT - Class notebooks

This is a collection of Jupyter notebooks I prepared in Machine Learning Techniques Course from IIT Madras Online Degree Programme in Data Science and Programming(Diploma Level).

The course deals with mathematical details of Machine learning algorithms as well as their implemention from scratch using basic libraries like Numpy.

Table of contents

Week 2

• Linear Regression

Week 3

• Polynomial regression
• Regularised regression

Week 4

• Least square classification
• Perceptron

Week 5

• Logistic Regression

Week 6

• Naive bayes

Week 7

• Softmax Regression
• K Nearest Neigbours

Week 8

• Support Vector Machines

Week 9

• Decision trees

Week 10

• Random Forest
• Gradient Boosting

Week 11

• K Means Clustering

Week 12

• Artificial Neural Network