The Business Use Case: Customer Churn PredictionChoosing Among No-Code, Low-Code, or Custom Code ML SolutionsExploring the Dataset Using Pandas, Matplotlib, and SeabornLoading Data into a Pandas DataFrame in a Google Colab NotebookUnderstanding and Cleaning the Customer Churn DatasetTransforming Features Using Pandas and Scikit-LearnBuilding a Logistic Regression Model Using Scikit-LearnLogistic RegressionTraining and Evaluating a Model in Scikit-LearnClassification Evaluation MetricsServing Predictions with a Trained Model in Scikit-LearnPipelines in Scikit-Learn: An IntroductionBuilding a Neural Network Using KerasIntroduction to KerasTraining a Neural Network Classifier Using KerasBuilding Custom ML Models on Vertex AISummary