feature-engineerig

Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python

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 …

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.

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

Build Scikit ColumnTransformers by specifying configs.

Unsupervised discovery of Counter-Strike 2 player roles from raw .dem replays: behaviour-only features, per-side Self-Organizing Maps, and a leakage-free test of whether role consistency predicts round outcomes across 76 pro maps. Bachelor's thesis.

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.

Big Data Analysis - Class Assignments

Catching High-Risk Patients Earlier with predictive screening. Data Analysis · Feature Engineering · ML