16RanRegression

Product demand from price

I trained a decision tree to predict units sold from the total and base price across 150,150 store-week rows, then predicted demand for one price pair.

Original tutorial by Aman Kharwal: Product Demand Prediction (opens in a new tab)

What it printed in 2022

Numbers read from the saved notebook outputs. Cell numbers count every cell in the notebook, Markdown included, starting at 1.
Output	Value	Cell #
Units predicted at the sample prices	27.00	15

Cell # counts every cell from the top of the notebook, Markdown included, starting at 1.

The model was never scored. The single prediction of 27 units is all the output says.

The data

A store-level sales table from the tutorial author's data repository.

What I'd do differently

Score it on held-out stores or later weeks, not shuffled rows.
Add the store, since demand at the same price differs a lot between stores.