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Digital transformation in finance
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Module 5
Supervised Learning for Financial Prediction
Machine Learning vs. Econometrics: Linear & Logistic Regression
Contrast the machine learning approach to linear and logistic regression with traditional econometric applications.
2
Decision Trees and Ensemble Methods for Credit Scoring
Apply decision trees and ensemble methods (e.g., random forests) for tasks like credit scoring.
3
Neural Networks: Pattern Recognition Powerhouses
Explain the conceptual basis of neural networks and their strength in pattern recognition.
4
Understanding Classification Model Performance: The Confusion Matrix
Describe how to evaluate classification model performance using a confusion matrix (accuracy, precision, recall).
Previous module
From Statistics to Machine Learning
Next module
Unsupervised Learning for Financial Insights