Yoda Response: I implemented algorithms using scikit-learn in a project predicting chronic kidney disease. I used SelectKBest for feature selection, reducing the feature space from 26 to 10. I trained models like Gaussian Naive Bayes and XGBoost on these features. With XGBoost, I achieved an accuracy of 98%, demonstrating the effectiveness of feature selection and model training using scikit-learn.