Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to Support it.

This project is to build machine learning models on the byte and asm files to predict which type of malware these files represent. The byte files contain the hexadecimal codes and the asm file contains the assembly language code which contains keywords, opcodes, registers, APIs. We have to extract features from these files and build the optimal …

Predicts voting habits (state/district/county) based on the presence of 20 popular chain stores including Starbucks, Walmart, Cracker Barrel, Target, and Dollar Tree.

The Traffic Accident Prediction project aims to develop a system that predicts accident likelihood and severity using historical data. It provides insights to authorities and the public to enhance road safety and reduce accident costs.

Build Scikit ColumnTransformers by specifying configs.

Big Data Analysis - Class Assignments

An end-to-end Machine Learning and Analytics solution designed to optimize marketplace efficiency. This project features a high-precision Delivery Delay Predictor and a Dual-Tier Seller Clustering system (Scale-based vs. Behavioral) to identify critical revenue drivers and operational bottlenecks, all served via a containerized FastAPI backend.