Fraud Detection with Machine Learning (Python)
Автор: MapML
Загружено: 2026-01-14
Просмотров: 16
📌 In this video, we walk through a complete credit card fraud detection pipeline using Python on Google Colab.
You’ll learn how to handle extreme class imbalance, perform feature engineering, apply SMOTE and undersampling, and evaluate models using PRAUC instead of accuracy.
⏱ Timestamps:
00:00 – 00:29: Intro
00:29 – 01:08: Data Imbalance Problem
01:08 – 01:52: EDA – Initial Data Structure
01:52 – 02:35: Handling Core Features: Time & Amount
02:35 – 03:45: Feature Engineering
03:45 – 04:40: Train/Test Split
04:40 – 06:15: Data Rebalancing Strategies
06:15 – 08:32: Model Evaluation
08:32 – 09:21: Grid Search with Stratified K-Fold
09:21 – 10:46: Decision Threshold Optimization
10:46 – End: Conclusion – 3 Key Takeaways
Link Dataset: https://www.kaggle.com/datasets/mlg-u...
👉 If you’re learning Machine Learning or Data Science, make sure to like, subscribe, and save this video for later.
#machinelearning #frauddetection #datascienceproject
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