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Course Notes

Use this workspace to take notes, store code snippets, or build your own interactive cheatsheet! For courses that use data, the datasets will be available in the datasets folder.

# Import any packages you want to use here
import tensorflow as tf
import pandas as pd
import numpy as np

Take Notes

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

Add your notes here

# Add your code snippets here
data_path = ("data/athlete_events.csv.gz")
wine = pd.read_csv(data_path)
print(wine)