Function reference

Machine Learning Pipeline

Functions to help you build a machine learning pipeline

eda.eda	Perform exploratory data analysis on a single numeric column of a DataFrame.
compute_model_metrics.compute_model_metrics	Compute evaluation metrics for a single fitted machine learning model.
model_comparison.model_comparison	Compare multiple fitted scikit-learn models and return the best-performing one.
model_pipeline.create_model_pipeline	Create model pipeline for model of choice (logistic regression, SVC or