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Reinforcement Learning for Robotic Arm Control
Trained a reinforcement learning agent in a custom Gymnasium environment to solve a robotic reach task using PyBullet physics. This project demonstrates my ability to implement RL algorithms, simulate robotic systems, and optimize control policies for real-world applications.
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Classifier Visualisation
Developed an intuitive Python tool to train, evaluate, and visualize decision boundaries of multiple classifiers (SVM, Random Forest, Logistic Regression) on 2D datasets. Implemented hyperparameter tuning to optimize model performance while providing visual explanations of model behavior and trade-offs.
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Data Analysis and Regression Predictions with Python
Built a predictive model in Python to forecast residential home prices, applying machine learning with scikit-learn to solve a supervised regression problem.
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Exploratory Data Analysis and Classification Predictions with Python
Developed a predictive model to identify factors influencing survival during the Titanic disaster. This project involved a complete machine learning workflow, from data cleaning and feature engineering to fitting a classifier.
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Custom Reinforcement Learning Environments
Developed modular Gymnasium environments for training RL agents, integrating physics-based robotics simulations via PyBullet and ROS.
