Linear and Polynomial Regression in Python

The video tutorial covers data fitting using Python, starting with setting up the environment in IPython Notebook. It demonstrates importing libraries like numpy and scipy, setting up data arrays, and performing linear and polynomial fits. The tutorial also explains plotting data using matplotlib and calculating the R-squared value both manually and with built-in functions. Finally, it shows how to download and execute the script from the command line.

How do you plot data points and a fitted line using matplotlib?

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Explain how to perform a quadratic and cubic polynomial fit in Python.

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What is the process to calculate the residuals in a linear regression?

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What are the steps to download a Python script from an IPython notebook?

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