This repo contains assignments and slides related to the course "Statistical Methods in AI" at IIIT Hyderabad. It includes implementation of known machine learning algorithms.
Assignment | Topics |
---|---|
assignment1 | Decision Tree |
assignment2 | K-Nearest Neighbours, Naive Bayes, Linear/Logistic Regression |
assignment3 | Principal Component Analysis(PCA), K-means, Gaussian Mixture Models, Hierarchical Clustering |
assignment5 | Neural Network from scratch |
assignment6 | Convolutinal Neural Nets(CNN), Tensorflow/keras |
assignment7 | L1/L2(Lasso/Ridge) regularization |
assignment9 | Auto Encoders, Kernal Density Estimation, GMM Density Estimation |
assignment10 | Recurrent Neural Nets(RNN), Hidden Markov Models(HMM) |