Update README.md

Author: khuyentran1401

README.md

@@ -34,15 +34,16 @@ Collection of useful data science topics along with code and articles in my [dat
 | How to Share your Jupyter Notebook in 3 Lines of Code with Ngrok | [link](https://towardsdatascience.com/how-to-share-your-jupyter-notebook-in-3-lines-of-code-with-ngrok-bfe1495a9c0c) |
 | Introduction to Schema: A Python Libary to Validate your Data | [link](https://towardsdatascience.com/introduction-to-schema-a-python-libary-to-validate-your-data-c6d99e06d56a) | [link](https://github.com/khuyentran1401/Data-science/blob/master/data_science_tools/schema.ipynb)
 |Pytest for Data Scientists | [link](https://towardsdatascience.com/pytest-for-data-scientists-2990319e55e6) | [link](https://github.com/khuyentran1401/Data-science/tree/master/data_science_tools/pytest)
-|Introduction to DVC: Data Version Control Tool for Machine Learning Projects | [link](https://towardsdatascience.com/introduction-to-dvc-data-version-control-tool-for-machine-learning-projects-7cb49c229fe0) | [link](https://github.com/khuyentran1401/Machine-learning-pipeline)
+|Introduction to DVC: Data Version Control Tool for Machine Learning Projects | [link](https://towardsdatascience.com/introduction-to-dvc-data-version-control-tool-for-machine-learning-projects-7cb49c229fe0) | [link](https://github.com/khuyentran1401/Machine-learning-pipeline) |
+| Incorporate the Best Practices for Python with These Top 4 VSCode Extensions | [link](https://towardsdatascience.com/incorporate-the-best-practices-for-python-with-these-top-4-vscode-extensions-3101177c23a9) 
+
 # Machine Learning
 | Title        | Medium article           | Repository  |
 | ------------- |:-------------:| :-----:|
 |How to Efficiently Fine-Tune your Machine Learning Models | [link](https://towardsdatascience.com/how-to-fine-tune-your-machine-learning-models-with-ease-8ca62d1217b1) | [link](https://github.com/khuyentran1401/Machine-learning-pipeline) |
 | How to Learn Non-linear Dataset with Support Vector Machines | [link](https://towardsdatascience.com/how-to-learn-non-linear-separable-dataset-with-support-vector-machines-a7da21c6d987) | [link](./machine-learning/SVM_Separate_XOR.ipynb) |
 | 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) 
-| Incorporate the Best Practices for Python with These Top 4 VSCode Extensions | [link](https://towardsdatascience.com/incorporate-the-best-practices-for-python-with-these-top-4-vscode-extensions-3101177c23a9) 
 
 # Natural Language Processing
 | Title        | Medium article           | Repository  |