Various machine learning projects using public datasets
- Classification using Naive Bayes and Nearest Neighbours
- Support Vector Machine (SVM)
- Classification using Random Forest
- High Dimentional Data - Principal Component Analysis
- Clustering
- Regression
- Generalized Linear Models
- Boltzmman Machine Models
- Markov Chains and Hidden Markov Models
- Neural Networks
- Clustering using Expectation Maximization Algorithm - Image processing
- Boltzmman Machine Models - Image Processing
- Deep Learning using Tensorflow
- Time Series Analysis
- Sentiment Analysis
- Classification using Tree Based Models (XGBoost)
- Regression Using Tree Based Models (GBM)