Anomaly Detection in Credit Card Payments
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Updated
Feb 1, 2022 - Jupyter Notebook
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
To detect Credit Card Fraud by using SVR, Isolation Forest and Local Outlier Factor.
Generating feature importances for outliers identified through Isolation Forests
calibration of photographic film
Cyclone Preheater Abnormality Study
Identifying outliers in well logs with machine learning.
Defenzio is a cutting-edge prototype designed to detect zero-day attacks using Deep-learning.Mitigate potential security threats in real-time.
Anomaly detection dashboard based on 2018 Russian presidential election data :)
Course syllabus, notes, projects for USF's MSDS689
IEEE-CIS Fraud Detection with Unsupervised Learning
Application of Machine Learning in Finance Domain
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