/titanic_survival_model_pipeline

Logistic regression pipeline by using sklearn, feature_engine, joblib

Primary LanguageJupyter Notebook

Pipline

End-To-End SK-Learn pipeline for predicting survival on the titanic using logistic regression model.

In this pipeline, we are using custom transformers to preprocess the data and using LogisticRegression estimator to train and predict the results.

1- Feature Imputation:

  • MeanMedianImputer
  • CategoricalImputer
  • AddMissingIndicator

2- Feature Encoding:

  • OneHotEncoder
  • RareLabelEncoder