Credit Default Prediction with Python: Apply & Analyze
Completed by Sara Khalloud
September 20, 2025
5 hours (approximately)
Sara Khalloud's account is verified. Coursera certifies their successful completion of Credit Default Prediction with Python: Apply & Analyze
What you will learn
Preprocess financial datasets using encoding, scaling, and EDA techniques.
Build and tune logistic regression, decision trees, and Random Forest models.
Evaluate credit risk models with confusion matrices, ROC curves, and ensemble methods.
Skills you will gain
- Category: Decision Tree Learning
- Category: Risk Modeling
- Category: Applied Machine Learning
- Category: Exploratory Data Analysis
- Category: Predictive Modeling
- Category: Performance Analysis
- Category: Data Preprocessing
- Category: Model Optimization
- Category: Financial Analysis
- Category: Model Evaluation
- Category: Data Analysis
- Category: Credit Risk
