Update README.md

README.md

@@ -93,6 +93,7 @@ If you want to received updates of these blogs in your mailbox, you can subscrib
 | Introduction to IBM Federated Learning: A Collaborative Approach to Train ML Models on Private Data | [link](https://towardsdatascience.com/introduction-to-ibm-federated-learning-a-collaborative-approach-to-train-ml-models-on-private-data-2b4221c3839) | [link](https://github.com/IBM/federated-learning-lib)
 | 3 Steps to Improve your Efficiency when Hypertuning ML Models | [link](https://towardsdatascience.com/3-steps-to-improve-your-efficiency-when-hypertuning-ml-models-5a579d57065e) 
 | human-learn: Create a Human Learning Model by Drawing | [link](https://towardsdatascience.com/human-learn-create-rules-by-drawing-on-the-dataset-bcbca229f00) | [link](https://github.com/khuyentran1401/Data-science/blob/master/machine-learning/human_learn_examples/human-learn%20examples.ipynb)
+| Patsy: Build Powerful Features with Arbitrary Python Code | [link](https://towardsdatascience.com/patsy-build-powerful-features-with-arbitrary-python-code-bb4bb98db67a#3be4-4bcff97738cd) | [link](https://github.com/khuyentran1401/Data-science/blob/master/statistics/patsy_example.ipynb)
 
 # Natural Language Processing