Assignment 1 : Linear Regression on housing price
Assignment 2 :
- Q1 : Linear Regression using regularization on housing price
- Q2 : Locally weighted regression
Assignment 3 :
- Q1 : Logistic regression for classification on examination dataset
- Q2 : Logistic regression for classification on microchip dataset
Assignment 4 :
- Q1 : Delta learning rule and netwon's for classification on examination
- Q2 : Delta learning rule and netwon's for classification on microchip dataset
Assignment 5 :
- Q1 : Spam ham classifier using Naive Bayes
- Q2 : River-Non River classifier using Naive baysian method
Assignment 6 :
- Q1 : Face Detection using PCA
- Q2 : Face Detection using LDA
Assignment 7 : SVM from scratch using Simplified SMO algorithm. Source : http://cs229.stanford.edu/materials/smo.pdf
Assignment 8 :
- Q1 : Fuzzy expert system for house mortgage using scikit fuzzy
- Q2 : Fuzzy expert system for Universty prediction using scikit fuzzy
- Q3 : Fuzzy addition and function evaluation from scratch