https://github.com/badr-moufad/nnights-team

Code developed for the Flight challenge
https://github.com/badr-moufad/nnights-team

Last synced: 14 days ago
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Code developed for the Flight challenge

• Host: GitHub
• URL: https://github.com/badr-moufad/nnights-team
• Owner: Badr-MOUFAD
• Created: 2021-12-13T18:21:40.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2022-01-18T23:39:26.000Z (almost 3 years ago)
• Last Synced: 2024-10-27T00:10:41.823Z (2 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 55.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## NNights-code

Code developed for the **Flight challenge**.

The goal is to predict the number of passengers per plane on some flights in the US.

## Data set

The dataset has the following columns:

- *flight_date* : the date of the flight

- *from*: the code of the departure airport

- *to*: the code of the arrival airport

- *avg_weeks*: the average number of weeks between ticket purchase and flight date

- *std_weeks*: the standard deviation of the number of weeks between ticket purchase and flight date

- *target*: the variable to predict. It relates to the number of passengers on the flight. For privacy reasons, the number of passengers is not available, and the ``target`` variable is available instead.

## Note on scoring

The performance of the prediction will be quantified on left-out data, using the **RMSE** (Root Mean Squared Error).

The test data is available under the same format as the training data, minus the target column.