100 Days Challenge Day 6 - Anomaly Detection

100 Days Challenge - Day 6.

Anomaly Detection

Revised Anomaly Detection  from Andrew Ng's Machine Learning course on Coursera which I had already completed a few months ago and started working on Credit Card Transaction Dataset to detect fraudulent transactions.

Topics covered include:

Anomaly Detection

• Normal Assumption
• Algorithm
• Evaluation
• Choosing Features
• Anomaly Detection vs Supervised Learning
• Anomaly Detection using Multivariate Normal

Note: I have started the project but there were some issues due to which the predictions came out erroneously. Will fix it soon and upload the python notebook file in tomorrow's post.

(Tomorrow's post: https://hitheshai.blogspot.com/2019/12/100-days-challenge-day-7-anomaly-detection-credit-card-fraud-detection-project.html)

Dataset: https://www.kaggle.com/mlg-ulb/creditcardfraud