Mercedes-Benz-Greener-Manufacturing

Project objective:

• Reduction of time spent on cars in bench

Process

• If for any column(s), the variance was equal to zero, then removed those variable(s) because they wouldn't have any impact on the output.
• Checked for null and unique values in train dataset.
• Applied label encoding on categorical feature columns.
• Performed dimensionality reduction via PCA(Principal Component Analysis) to capture the essence of the data.
• Predicted values using XGBoost.