Ecommerce Model Training

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  ROC

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  Correlation Matrix

� � Predictive Model Report - E-Commerce Customer Purchase Prediction � �

1. Methodology � � The dataset was carefully preprocessed to ensure optimal performance for machine learning models. The steps included: ● Handling missing values in Annual_Income by imputing with median values. ● Transforming Birth_Year into Age for better feature representation. ● Encoding categorical variables like Education Level and Family Status using One-Hot Encoding. ● Normalizing numerical features for consistent scaling across inputs. ● Splitting the dataset into training (80%) and validation (20%) sets.

Built With

• matplotlib
• python
• seaborn