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Machine Learning with Python and SKLearn: Fitting a Nonlinear Model
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In this video lecture series, we go over the basics of Machine learning using Python and the SKLearn toolbox. We give an introduction to machine learning and start with a simple linear regression example. The lecture series continues with more advanced methods to create nonlinear models and introduce regularization methods like LASSO, Ridge Regression, and Elastic Net Regression.
For a playlist of the entire course, click here:
For a playlist of the entire course, click here:
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