Starting kit on the bike counters dataset

Getting started

Download the data,

Download the data files,

• train.parquet
• test.parquet

and put them into into the data folder.

Note that the test.parquet file is different from the actual final_test.parquet used for the evaluation on Kaggle. This file is just here for convenience.

Install

To run the notebook you will need the dependencies listed in requirements.txt.

It is recommended to create a new virtual environement for this project. For instance, with conda,

conda create -n bikes-count python=3.10
conda activate bikes-count

You can install the dependencies with the following command-line:

pip install -U -r requirements.txt

Challenge description

Get started on this challenge with the dedicated notebook.

Launch the notebook using:

jupyter lab ./bike_counters_starting_kit.ipynb

Submissions

Upload your script file .py to Kaggle using the Kaggle interface directly. The platform will then execute your code to generate your submission csv file, and compute your score. Note that your submission .csv file must have the columns "Id" and "bike_log_count", and be of the same length as final_test.parquet.