In this video, I demonstrate a simple and practical approach to credit card fraud detection using Scikit-learn. Starting with a basic model that detects 151 out of 196 fraud cases, I enhance the model by using class_weight=’balanced’, boosting detection to 172 out of 196.
Perfect for beginners in machine learning or anyone curious about how simple tweaks can improve model performance!
What you’ll learn:
• How to preprocess imbalanced datasets
• How to use Scikit-learn for binary classification
• Importance of class weights in fraud detection
#MachineLearning #ScikitLearn #PythonCode #AIReels #DataScience
#MLPipeline #KNN #LogisticRegression #Overfitting #MLTips
#CodeNewbie #TechReels #100DaysOfCode #DataScienceLife #AI
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