Project 2: Model Evaluation and Anomaly Detection

Project 2: Model Evaluation and Anomaly Detection#

This project focuses on learning how to evaluate a model when working with an imbalanced dataset on an anomaly detection problem.

Skills to gain:

  • Anomaly detection

  • working with imbalanced datasets

  • precision-recall analysis

  • model evaluation metrics (accuracy, F1-score, AUC).

Dataset: To be released

Notebook: To be released