ardbramantyo / Ice-Cream-Revenue-Prediction

This project tries to make prediction on ice cream revenue based on one variable (outdoor temperature) with simple linear model

Ice Cream Revenue Prediction

Overview

As an owner of an ice cream business, I want to create a model that could predict the daily revenue based on the outside temperature.

Based on the graph above, a linear regression model is a good choice to solve the problem.

The dataset itself, consist of 500+ data sample and 2 fields:

• Independent var (X): outside air temperature (deg C)
• Dependent var (Y): Overall daily revenue ($)

Reference:

1. https://seaborn.pydata.org/generated/seaborn.jointplot.html
2. https://seaborn.pydata.org/generated/seaborn.pairplot.html
3. https://seaborn.pydata.org/generated/seaborn.lmplot.html
4. https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html
5. https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html
6. https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.scatter.html
7. https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html