bit-baker

Stock-Trading-Prediction-using-RL

A project that predicts stocks using Q-Learning algorithm in deep Reinforcement Learning. This project leveraged the usage of Nvidia’s last 5 years (2017-2021) stock price dataset

Actor-Critic

Affective-State-Analysis

A multi-view user engagement recognition prototype classifying engagement levels of 4. Developed Convolution Neural Network extending VGG-16 with effective weights on DAiSEE dataset with an accuracy of 87%.  Enhanced stability with micro and macro expressions of users from an unstructured e-learning environment.

DQN_DDQN

Value Based and policy gradient Algorithms Implementation on single and multi agent environments.

Fairness-in-Multi-Agent-Systems

Ensuring trust among agents using Multi-Agent Deep Reinforcement Learning

K-Means-Clustering

Implemented K-Means Clustering from scratch on Cifar-10 dataset, Optimized the model using Auto- Encoders.

Logistic-Regression

A Logistic Regression model which predicts and differentiates the diabetic patients from the given Pima Indians Diabetes Database dataset. Hyper parameter tuning is implemented using Tensorflow board visualizations.

Numerical-Mathematics---MATLAB

Problems solving using MATLAB