Next, we use Jupyter Notebook to explore and visualize our data. We create a histogram to understand the distribution of sales values.
# Make predictions on testing set y_pred = model.predict(X_test) building data science solutions with anaconda pdf
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# Load dataset df = pd.read_csv('sales_data.csv') Next, we use Jupyter Notebook to explore and
# Explore the data print(df.head())