Waze data processor - AWS, Azure and GCP
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Updated
Jan 25, 2018 - JavaScript
Waze data processor - AWS, Azure and GCP
A route time display based off of Waze's api.
The main objective of this project is to develop a predictive model that can accurately identify users who are at risk of churning from the Waze platform
Use info from WME to automatically fill out related forms for the KS/MO MapRaid.
Predicting Pollution from Waze Data
Compute commute distance and duration using waze api
Displays the MapRaid group areas in the Waze Map Editor
Sort WME feed section chronological, newest UR on top.
Combine the status of multiple device trackers; make presence detection not so binary; reverse geocode and make distance calculations.
Base class for Greasy Fork plugins for Waze Map Editor
UI Library for Waze Map Editor Greasy Fork scripts
An analysis project to discover the Waze customer's churn behavior and to understand factors that influenced customers churn.
Introducing (country specific) advanced categories to Waze Map Editor.
Template of the script for Waze Map Editor
Bootstrap library for custom WME scripts
Add a description, image, and links to the waze topic page so that developers can more easily learn about it.
To associate your repository with the waze topic, visit your repo's landing page and select "manage topics."