1. Machine Learning Algorithms : Implemented Logistic Regression, Linear Regression, Random Forest, SVM, Pegasos from scratch. Implementations are done in Matlab.

  2. Deep Learning Algorithms : Implemented Fully Connected Neural Networks, Convolutional Neural Networks, Faster R-CNN, Transformer for NLP, Vision Transfomers from scratch. Implementations are done using Pytorch.

  3. Reinforcement Learning Algorithms : Implemented Policy and Value Iterations from scratch. Implementations are done in Python.

  4. Optimization Algorithms : Implemented Kalman Filter, Extended Kalman Filter, Particle Filter, Unscented Kalman Filter from scratch. Implementations are done in Matlab