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 Tutorials
-===================================
+===================================
+
+Classification
+**************
+Learn how to prepare the data for modeling, create a classification model, tune hyperparameters of a model, analyze the performance, and consume the model for predictions.
+
+- `Binary Classification Tutorial - Level Beginner (CLF101) <https://github.com/pycaret/pycaret/blob/master/tutorials/Binary%20Classification%20Tutorial%20Level%20Beginner%20-%20%20CLF101.ipynb>`_
+
+- `Binary Classification Tutorial - Level Intermediate (CLF102) <https://github.com/pycaret/pycaret/blob/master/tutorials/Binary%20Classification%20Tutorial%20Level%20Intermediate%20-%20CLF102.ipynb>`_
+
+- `Multiclass Classification Tutorial - Level Beginner (MCLF101) <https://github.com/pycaret/pycaret/blob/master/tutorials/Multiclass%20Classification%20Tutorial%20Level%20Beginner%20-%20MCLF101.ipynb>`_
+
+
+Regression
+**************
+Learn how to prepare the data for modeling, create a regression model, tune hyperparameters of a model, evaluate model errors, and consume the model for predictions.
+
+- `Regression Tutorial - Level Beginner (REG101) <https://github.com/pycaret/pycaret/blob/master/tutorials/Regression%20Tutorial%20Level%20Beginner%20-%20REG101.ipynb>`_
+
+- `Regression Tutorial - Level Intermediate (REG102) <https://github.com/pycaret/pycaret/blob/master/tutorials/Regression%20Tutorial%20Level%20Intermediate%20-%20REG102.ipynb>`_
+
+Clustering
+**************
+Learn how to prepare the data for modeling, create a K-Means clustering model, assign the labels, analyze results, and consume a trained model for predictions on unseen data.
+
+- `Clustering Tutorial - Level Beginner (CLU101) <https://github.com/pycaret/pycaret/blob/master/tutorials/Clustering%20Tutorial%20Level%20Beginner%20-%20CLU101.ipynb>`_
+
+
+Anomaly Detection
+*****************
+Learn how to prepare the data for modeling, create an unsupervised anomaly detector, evaluate the results of the trained model, and consume the model for predictions on unseen data.
+
+- `Anomaly Detection Tutorial - Level Beginner (ANO101) <https://github.com/pycaret/pycaret/blob/master/tutorials/Anomaly%20Detection%20Tutorial%20Level%20Beginner%20-%20ANO101.ipynb>`_
+
+Natural Language Processing
+***************************
+Learn how to perform text preprocessing, tune hyperparameters of a topic model and consume the results of a topic model in supervised experiment i.e. Classification or Regression.
+
+- `Natural Language Processing Tutorial - Level Beginner (NLP101) <https://github.com/pycaret/pycaret/blob/master/tutorials/Natural%20Language%20Processing%20Tutorial%20Level%20Beginner%20-%20NLP101.ipynb>`_
+
+- `Natural Language Processing Tutorial - Level Intermediate (NLP102) <https://github.com/pycaret/pycaret/blob/master/tutorials/Natural%20Language%20Processing%20Tutorial%20Level%20Intermediate%20-%20NLP102.ipynb>`_
+
+
+Association Rule Mining
+***********************
+Learn how to prepare data for association rule mining. Create an apriori model, examine rules, and analyze results.
+
+- `Association Rule Mining Tutorial - Level Beginner (ARUL01) <https://github.com/pycaret/pycaret/blob/master/tutorials/Association%20Rule%20Mining%20Tutorial%20-%20ARUL01.ipynb>`_