Skip to content

Instantly share code, notes, and snippets.

What would you like to do?
# shuffle customer ID's
# extract 90% of customer ID's
customers_train = [customers[i] for i in range(round(0.9*len(customers)))]
# split data into train and validation set
train_df = df[df['CustomerID'].isin(customers_train)]
validation_df = df[~df['CustomerID'].isin(customers_train)]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment