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    Jupyter Notebook
  • Created almost 4 years ago
  • Updated almost 4 years ago

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About this Notebook In this notebook, we learn how to use scikit-learn to implement simple linear regression. We download a dataset that is related to fuel consumption and Carbon dioxide emission of cars. Then, we split our data into training and test sets, create a model using training set, evaluate your model using test set, and finally use model to predict unknown value.