E-commerce Customer Purchase Prediction

Model Deployment Preparation and Final Recommendations

working on model deployment

Model Interpretability with SHAP and LIME

Model interpretability graph

Learning Curves and Model Diagnosis

learning curve graph

Model Robustness and Cross-Validation Analysis

Model robustness analysis

Ensemble Methods and Model Stacking

Feature Importance and Model Interpretability

Model Evaluation and Comparison

Reduced Runtime and Increased Accuracy

Model Training and Hyperparameter Optimization

Model Definition and Hyperparameter Grids

Preprocessing Pipeline Setup , Feature Selection and Dimensionality Analysis

Feature Engineering and Exploratory Data Analysis Dashboard

data analysis graphs

Distribution Analysis , Correlation Analysis , Statistical Significance Testing

Data distribution graph to understand the data

Data Overview , Data Quality Assessment

data statistics

Initial notebook structure with basic imports