⚡ 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
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categorical_transformer: This transformer implement the Label encoding on categorical data.
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numerical_trasformer: This transformer implement the numerical transformation.
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feature_selection_trasformer: This transformer implement the feature selection part by selecting specific feature using Pearson correlation on the bases of specific threshold.
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Logistic Regression Estimator: This estimator contain logistic Regression Classifier along with Hyper-parameter tuning using Hyperopt.
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Random Forest Estimator: This estimator contain Random Forest Classifier along with Hyper-Parameter tuning using Hyperopt.