Implement gradient descent in linear regression problems, construct and evaluate simple linear models, and use feature engineering to create more complex supervised machine learning models.
What is the Develop-Packt/Performing-Linear-Regression-with-Python GitHub project? Description: "Implement gradient descent in linear regression problems, construct and evaluate simple linear models, and use feature engineering to create more complex supervised machine learning models.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.
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