Skip to content

Latest commit

 

History

History
17 lines (9 loc) · 597 Bytes

readme.md

File metadata and controls

17 lines (9 loc) · 597 Bytes

shoePricePredictor

How to use

Install the required packages using pip or conda.

(Optional) run the scrapeNike.py

Run the Jupyter notebook using jupyter notebook in your terminal

What does this do?

It finds a convoluted way to determine if a Nike shoe is expensive (by default that is set at $120 and above, but feel free to change it in the scrapeNike.py, line 61.)

Of course, we already have the price of the shoe, but that's not fun and TFDF is bad with having many possible outcomes on such a small dataset.

Instead use colors, exclusitivity of the shoe and more!