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california-housing---ml-project icon california-housing---ml-project

This is an end-to-end machine learning project. this project starts from loading the data, visualizing it, fill in the missing values, create pipelines, handle categorical variables, train models based on that data, and finally predict using that model. This does not only help me to understand how to train a machine learning model, but also give me a detailed idea of how to clean and prepare data for machine learning, train the model, and fine tune it in real life projects. Happy learning!!!

csc432-notebooks icon csc432-notebooks

These are the IPython notebook files for the CSC 432 Spring '13 course.

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