End-to-end ML project predicting economic crisis risk across 47 countries (2000–2035) using inflation, debt, forex reserves & conflict indicators. Random Forest ROC-AUC: 0.97
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Updated
Apr 30, 2026 - Jupyter Notebook
End-to-end ML project predicting economic crisis risk across 47 countries (2000–2035) using inflation, debt, forex reserves & conflict indicators. Random Forest ROC-AUC: 0.97
This is my week3 internship task which was assign through syntecxhub
Library Book Inventory Manager built using Python to manage books by adding, searching, viewing, and removing records.
This is the last task of SyntecxHub ( first ) internship.
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