Simplifying Machine Learning with PyCaret in Python/

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Creating the Classification Model

Learn to create, finalize and save the classification model for natural language processing tasks.

We'll cover the following...

Creating the model
Finalizing and saving the models
Implementation

Creating the model

The create_model() function lets us easily train a classification model on the dataset. In this case, we’ll create a CatBoost model because it generally performs well in classification tasks.

catboost = classification.create_model('catboost')

Run the code above in the Jupyter Notebook by ...

Introduction to Machine Learning

Regression

Classification

Clustering

Customer Segmentation with K-Means Clustering

Anomaly Detection

Natural Language Processing

Deploying a Machine Learning Model

Conclusion

Appendix

Creating the Classification Model

Creating the model