Anomaly Detection in Credit Card Payments

Machine learning project conducted together with Volvo Cars

My solution for the Spark Cognition Challenge. Questions and Assignment for Data Scientists.

Anomaly/outlier detection using Isolation forest

This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised, Unsupervised, and Recommender system algorithms.

An exploration of data analysis techniques and standard ML algorithms on QSAR oral toxicity dataset. - 2021 - Yıldız Technical University

outlier detection & k-means clustering

Using Isolation Forest

Anomaly detection with SKAB corpus

Condition monitoring of electrical assets are vital to prevent a developing fault from going unnoticed. This project aims to build anomaly detection models to identify significant changes in asset conditions and allow the operators to conduct timely maintenance.

INF367 Selected Topics in Artificial Intelligence: Project 1 - Isolation Forest anomaly detection

To detect Credit Card Fraud by using SVR, Isolation Forest and Local Outlier Factor.

Extended Isolation Forest in go Go

A Loyalty Program for E-commerce websites built upon Machine Learning techniques.

Generating feature importances for outliers identified through Isolation Forests

calibration of photographic film