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classification_of_bearing_faults_using_ml

This project compares the accuracy of different machine learning models in the identification and classification of bearing faults from time-series vibration data.

mrs_control_using_dqn

This work implements a decentralized control scheme on a multi-robot system where each robot is equipped with a deep Q-network (DQN) - Reinforcement learning based controller to perform an object transportation task.

multi_robot_system_dqn_controller

objectdetection

prediction_of_spacex_falcon9_landing

This capstone project enables us to predict the landing of the reusable SpaceX Falcon9 rocket using Machine learning techniques. The project focuses on Data Collection from API, Data wrangling, Exploratory Data Analysis using SQL and seaborn visualization, and finally, the application of Machine learning techniques to solve the problem.

stock_market_forecasting

This work attempts to generalize a stock forecasting neural network using Bayesian regularization so that predictions can be performed without an overfitted model, considering the highly volatile market these days.