iterative-imputer

Machine learning project clustering countries based on socio-economic & demographic indicators using K-Means, iterative imputation & feature scaling.

This repository is totally focused on Feature Engineering Concepts in detail, I hope you'll find it helpful.

The goal of this project is to develop a predictive model that accurately detects failures in the Air Pressure System (APS) of heavy Scania trucks. The APS is responsible for generating pressurized air used in various functions of the truck, such as braking and gear changes. By detecting failures in the APS system.

The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.

Research on machine learning, deep learning, and ensemble methods in imbalanced fraud and anomaly detection scenarios.

We build a model to predict the value of used cars, while also considering speed and quality of the prediction.

replicating the results gained in paper entitled "MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-Based Motion Capture Data"

Published research on machine learning, deep learning, and ensemble methods in imbalanced fraud and anomaly detection scenarios.