GitHub - FunPact/DAY_6_Model_Training_and_Tuning: Day 6 of Phase 2: AI System Building from the Databricks 14 Days AI Challenge – 2 (Advanced). Trained Logistic Regression and Random Forest Models, Performed Manual Hyperparameter tuning due to Workspace Constraints, Evaluated using ROC-AUC, & Analyzed Near-Perfect Results with Leakage Awareness.

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DAY 6 – Model Training & Tuning.ipynb		DAY 6 – Model Training & Tuning.ipynb

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Day 6 of Phase 2: AI System Building from the Databricks 14 Days AI Challenge – 2 (Advanced). Trained Logistic Regression and Random Forest Models, Performed Manual Hyperparameter tuning due to Workspace Constraints, Evaluated using ROC-AUC, & Analyzed Near-Perfect Results with Leakage Awareness.

pewter-porch-d86.notion.site/Databricks-14-Days-AI-Challenge-2-30947a4b88b880a5a363f2181e43601e?source=copy_link

auc binaryclassification codebasics databricks databricks-notebooks hyperparameter-tuning indiandataclub logistic-regression model notebook random-forest tuning-parameters

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