MuhammadTayyab-SE/churn-prediction-pipeline

⚡ Code for machine Learning Pipeline with Scikit-learn ⚡

Employee Churn Prediction Pipeline

⚡ Code for machine Learning Pipeline with Scikit-learn ⚡

Custom Sk-Learn pipeline with custom Transformers and Estimators.

In this pipeline we are using custom Transformers and custom estimators

Transformers:

• categorical_transformer: This transformer implement the Label encoding on categorical data.

• numerical_trasformer: This transformer implement the numerical transformation.

• feature_selection_trasformer: This transformer implement the feature selection part by selecting specific feature using Pearson correlation on the bases of specific threshold.

Estimators:

• Logistic Regression Estimator: This estimator contain logistic Regression Classifier along with Hyper-parameter tuning using Hyperopt.

• Random Forest Estimator: This estimator contain Random Forest Classifier along with Hyper-Parameter tuning using Hyperopt.