vishwakftw / cs6510-aml

Coursework pertaining to CS6510 : Applied Machine Learning offered in Fall 2017

CS6510-AML

Coursework pertaining to CS6510 : Applied Machine Learning offered in Fall 2017

Assignment 1 :

• K-NN (Theory)
• Decision Trees (Theory)
• Some Linear Algebra and Probability

Programming Assignment 1 :

• K-NN on a synthetic dataset to be generated and some studies
• Naive-Bayes Classifier on a real world dataset with different metrics
• Decision Trees on a real world dataset
• Support Vector Machines with different Kernels on a real world dataset

Assignment 2 :

• Classification (Multi-Class)
• Clustering
• Neural Networks
• Regression Methods

Kaggle Challenge :

• Random Forest and Gradient Boosting
• Dataset used was a reduced version of this bank marketing dataset.

Programming Assignment 2 :

• Dimensionality Reduction techniques: PCA and t-SNE on the Iris dataset and synthetic Swiss Roll dataset
• Regression Methods: Ridge Regression and LASSO