Built a machine learning model to predict financial crises using economic data from African countries. Applied preprocessing, feature engineering, and trained models like Random Forest, SVM, and KNN, achieving ~96% accuracy. Demonstrates real-world use of ML for economic risk prediction.
# ML_in_economy
Built a machine learning model to predict financial crises using economic data from African countries. Applied preprocessing, feature engineering, and trained models like Random Forest, SVM, and KNN, achieving ~96% accuracy. Demonstrates real-world use of ML for economic risk prediction.