Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

marcusinthesky/Zindi-Uber-RANRAIL-Movement-Challenge

Domaine:

mobility

Type de record:

dataset
Créateur:
mar
Hôte:
Incident data in Cape Town, South Africa has been provided by SANRAL Freeway Management System and travel times between zones in Cape Town have been provided by Uber Movement. The aim of this challenge is to forecast if an incident will occur for each hour of each day per 500m road segment along the major roadways in Cape Town for 1 January 2019 to 31 March 2019. ## Zindi-Uber-RANRAIL-Movement-Challenge # Overview This repo is a competition submission for the Zindi Uber Movement SANRAL Cape Town Challenge . This solution, using Non-negative Matrix Factorization took first place in the competition hackathon and remained top of the public and private leaderboards for 4 months despite is simplicity. Please enjoy. Incident data in Cape Town, South Africa has been provided by SANRAL Freeway Management System and travel times between zones in Cape Town have been provided by Uber Movement. The aim of this challenge is to forecast if an incident will occur for each hour of each day per 500m road segment along the major roadways in Cape Town for 1 January 2019 to 31 March 2019. ## Installing dependencies Dependencies should be declared in `src/requirements.txt` for pip installation and `src/environment.yml` for conda installation. To install them, run: ``` kedro install ``` ## Running Kedro You can run your Kedro project with: ``` kedro run ``` ### Working with Kedro from notebooks In order to use notebooks in your Kedro project, you need to install Jupyter: ``` pip install jupyter ``` For using Jupyter Lab, you need to install it: ``` pip install jupyterlab ``` After installing Jupyter, you can start a local notebook server: ``` kedro jupyter notebook ``` You can also start Jupyter Lab: ``` kedro jupyter lab ``` And if you want to run an IPython session: ``` kedro ipython ``` Running Jupyter or IPython this way provides the following variables in scope: `proj_dir`, `proj_name`, `conf`, `io`, `parameters` and `startup_error`. #### Converting notebook cells to nodes in a Kedro project Once you are happy with a notebook, you may want to move your code over into the Kedro project structure for the next stage in your development. This is done through a mixture of cell tagging and Kedro CLI commands. By adding the `node` tag to a cell and running the command below, the cell's source code will be copied over to a …

Visit

github.com

Licenses

MIT

Similaires

Uber Movement SANRAL Cape Town Challengekelvingakuo/Predicting-People-Movement-Zindi-Challengemarcusinthesky/Zindi-Urban-Air-Pollutionmarcusinthesky/Zindi-ZA-COVID19-Vulnerablity-MapUber Nairobi Ambulance Perambulation Challengeshivaninazare/Uber-Nairobi-Ambulance-Perambulation-Challenge

Uber Movement SANRAL Cape Town Challenge

Predict when and where road incidents will occur next in Cape Town
Incident data in Cape Town, South Africa has been provided by SANRAL Freeway Management System and travel times between zones in Cape Town have been provided by Uber Movement.
The aim of

kelvingakuo/Predicting-People-Movement-Zindi-Challenge

Preprocessor and model for the Zindi challenge here: https://zindi.africa/competitions/traffic-jam-p

marcusinthesky/Zindi-Urban-Air-Pollution

A solution to the the Zindi Africa Urban Air Pollution Challenge. # Pollution ## Overview This is

marcusinthesky/Zindi-ZA-COVID19-Vulnerablity-Map

An entry in the South African COVID-19 Vulnerability Map by #ZindiWeekendz. # Zindi ZA COVID19 Vuln

Uber Nairobi Ambulance Perambulation Challenge

Can you use ML to create an optimised ambulance deployment strategy in Nairobi?
The data consists of crashes identified by the World Bank DIME research team and by Flare. ‘Train.csv’ provides time and location for 6318 crashes in the training period (2018-0

shivaninazare/Uber-Nairobi-Ambulance-Perambulation-Challenge

We’ve have been given an information on thousands of traffic accidents that have occurred in Nairobi