Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Notebooks and code for the book "Introduction to Machine Learning with Python"

Code samples used on cloud.google.com

Artificial Neural Networks - Gradient descent, BFGS, Regularization with Jupyter notebook

Exploratory data analysis of a road accident dataset.

Distributed data aggregation in clustered network of multi-agent systems

System Dynamic, Simulation, and Intelligent Control