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Supervised Learning with scikit-learn
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• ## .mfe-app-workspace-kj242g{position:absolute;top:-8px;}.mfe-app-workspace-11ezf91{display:inline-block;}.mfe-app-workspace-11ezf91:hover .Anchor__copyLink{visibility:visible;}Machine Learning with scikit-learn

Run the hidden code cell below to import the data used in this course.

```.mfe-app-workspace-11z5vno{font-family:JetBrainsMonoNL,Menlo,Monaco,'Courier New',monospace;font-size:13px;line-height:20px;}```# Import the course packages
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import sklearn
import scipy.stats

# Import the course datasets

### Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

``# Add your code snippets here``
• `auto`: `mpg`, the miles per gallon of used cars.
• `boston`: `MEDV`, the median value of owner-occupied homes in thousands of dollars.
• `diabetes`: `diabetes`, `0` indicates that the patient does not have diabetes, while a value of `1` indicates that the patient does have diabetes.
• `gapminder`: `life`, life expectancy
• `party`: party affiliation (`democrat` or `republican`)
• `whitewine`: `quality`