Estimators

This module contains functions related to estimators.

Regressor Model

This module contains functions related to Regressor models.

Classifier Model

This module contains functions related to Classifier models.

plot feature importances

plot_feature_importances

Trained model of LogisticRegression and RandomForestClassifier. For an example of performing image:

Examples

• plot_feature_importances with examples: Example usage of LogisticRegression using the iris dataset

• plot_feature_importances with examples: Example usage of RandomForestClassifier using the iris dataset

References

• “scikit-learn LogisticRegression coef_”.

• “scikit-learn RandomForestClassifier feature_importances_”.

plot_learning_curve

plot_learning_curve

Trained model of LogisticRegression and RandomForestClassifier. For an example of performing image:

Examples

• plot_learning_curve with examples: Example usage of LogisticRegression using the iris dataset

• plot_learning_curve with examples: Example usage of RandomForestClassifier using the iris dataset

References

• “scikit-learn learning_curve”.

Cluster Model

This module contains functions related to Cluster models.

plot elbow

plot_elbow

Trained model of KMeans or MiniBatchKMeans. For an example of performing image:

Examples

• plot_elbow with examples: Example usage of KMeans using the iris dataset

References

• “scikit-learn k-means”.

• “scikit-learn mini-batch-k-means”.