Ml

You built a model. It scores 80% accuracy. You're happy. But your model is broken , and you don't know it yet. A complete end-to-end ML project on customer churn: imbalanced data, Chi-squared feature selection, feature engineering, sklearn Pipeline, Recall vs Accuracy, GridSearchCV, and ROC curve.

a brief intro to ML through titanic dataset