Portfolio

Monte-Carlo Learning
Gymnasium
Reinforcement Learning

Monte-Carlo Learning

A project that uses the card game Blackjack to understand the Monte-Carlo Learning algorithm for estimating value functions and discovering optimal policies in unknown MDPs.
Dynamic Programming
Gymnasium
Reinforcement Learning

Dynamic Programming

A project that focuses on three Dynamic Programming methods (Policy Iteration, Truncated Policy Iteration, and Value Iteration) to solve a finite MDP.
Wild Edible Plant Classifier
Machine Learning
PyTorch

Wild Edible Plant Classifier

A project dedicated to classifying 35 classes of wild edible plants using Convolutional Neural Network architectures.
K-Means Clustering
Machine Learning
Supervised Learning

K-Means Clustering

Cluster analysis is a form of exploratory data analysis used to find patterns within data by splitting them into clusters. Within this project, we focus on building a K-Means Clustering algorithm without Python libraries.
Polynomial Regression
Machine Learning
Supervised Learning

Polynomial Regression

Polynomial Regression is an awesome technique for identifying the relationship between non-linear variables. In this project, I build one from scratch without the help of Python libraries.
Regression Analysis
Machine Learning
Supervised Learning

Regression Analysis

Regression Analysis is a great tool for finding the relationship between two or more items. In this project, I use a dataset on city-cycle fuel consumption in MATLAB without built-in functions.