Assignment 0: Testing Submissions
This is a dummy assignment to test submissions and familiarize with the submission system.
A collection of my academic work demonstrating skills in data science, machine learning, and software development. Each project showcases different aspects of computational thinking and algorithm implementation.
This is a dummy assignment to test submissions and familiarize with the submission system.
Data analysis of CDS elevators utilizing statistical methods and data visualization techniques.
Interactive webpage featuring KMeans clustering visualization with dynamic data representation and algorithm demonstration.
Implementation of Singular Value Decomposition for dimensionality reduction and data compression.
Latent Semantic Analysis (LSA) Search Engine utilizing natural language processing and information retrieval techniques.
K-Nearest Neighbors implementation for Kaggle competition, focusing on classification accuracy and model optimization.
Predictive model for Amazon product ratings using machine learning algorithms and feature engineering.
Implementation of linear regression from scratch, including gradient descent optimization and model evaluation.
Statistical hypothesis testing applied to linear regression models, including confidence intervals and p-value analysis.
Binary classification using logistic regression with regularization and performance metrics analysis.
Image search engine using computer vision techniques and similarity metrics for image retrieval.