Deep learning pipeline using U-Net for tumor segmentation and ResNet for tumor grade classification in Lower-Grade Gliomas (LGG) MRI images.

Implementation of Canny Edge Detection, Image Filtering, and Fourier Transform for noise removal in image processing using OpenCV and NumPy.

CNN model from scratch for MNIST digit classification using PyTorch, with batch normalization and confusion matrix analysis.

A machine learning-based classifier for identifying exceptional facts in text using DistilBERT, with applications in journalism, research, and data analysis.

Analysis of patient disenrollment using statistical and machine learning techniques, identifying key drivers and providing actionable insights to improve member retention.

Decision Tree implementation from scratch using Information Gain to classify gender based on height, weight, and age.

Implementation of Linear Regression, Locally Weighted Linear Regression (LWLR), and Logistic Regression from scratch in Python. This project explores function approximation, model evaluation, and c…

Implements Gaussian Naive Bayes for gender classification based on physical features like height, weight, and age. Includes model validation through cross-validation and feature importance analysis.

This project uses the K-Nearest Neighbors algorithm to classify individuals into gender categories based on their physical attributes. It assesses the model's performance across different configura…

Classification project using K-Nearest Neighbors (KNN) to predict the salary category of data science professionals based on their skills, experience, and demographics. Evaluates various distance m…

Analysis of a comprehensive dataset of board games from Kaggle. Focuses on exploring game trends, player preferences, and game mechanics to derive insights using Python’s Pandas library.

Data extraction and analysis project focusing on U.S. National Parks. Extracts detailed information about parks across the states using web scraping techniques and organizes the data into a structu…

Analyzes a comprehensive IMDb database to uncover trends and insights in the film industry. Utilizes SQL for data querying and Python for data manipulation and visualization, focusing on movie genr…

Analyzes airline routes to identify key hubs and predict future expansion opportunities. Utilizes network graph analysis and predictive analytics to explore operational data and provide strategic i…

Analyzing U.S. Census data to explore income, education, age, and profession trends. Includes cleaned datasets, visualizations, and Python code for data analysis.

Config files for my GitHub profile.