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Machine Learning Course Notes (AndrewNg Course)

My entire Machine learning course notes along with code implementations for all algorithms. The notes are based on the course taught by AndrewNg offered by stanford on Coursera

Computing Trajectories of the Lorenz system using Adaptive Runge-Kutta Method

Computing Trajectories of the Lorenz System using Adaptive Runge-Kutta Method

Non-Stationary Markov Decision Processes and Continual Reinforcement Learning Algorithms

Katakam, S. (2025). Non-Stationary Markov Decision Processes and Continual Reinforcement Learning Algorithms [Zenodo]. https://doi.org/10.5281/zenodo.15471128

Master’s Thesis Preliminary Seminar: Non-Stationary MDPs and Continual RL

Download Slides here

Master’s Thesis Defense Presentation: Non-Stationary MDPs and Continual RL

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Download Thesis here

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.