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