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    Learning Objective 

    Classification (Notes)(Code)

    • Datasets
    • Data Preparation (Setup)
    • Model Training & Selection
    • Build the model using Best MODEL
    • Analyze the best model
    • Predict new Data
    • Check feature importance
    • Dashboard
    • Hyperparameter tuning
    • Interpret the results
    • AUC Plot
    • Precision-Recall Curve
    • Confusion Matrix
    • Cross-validation
    • Finalize and Save Pipeline