I explained the problem statement, dataset, preprocessing steps, and the model I selected. I discussed why the algorithm was chosen, how I handled overfitting, and the evaluation metrics used such as accuracy, precision, recall, and cross-validation. I also shared insights on improvements and real-world impact.