Data Exploration Using Python.
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Updated
Oct 9, 2022 - Jupyter Notebook
Data Exploration Using Python.
🚲 Bike Share Route Planner
Bike sharing prediction using Neural Networks
In this project, you will write Python code to import US bike share data and answer interesting questions about it by computing descriptive statistics. You will also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
Spatial patterns of seasonal ridership, built environment and social demographics: A taxonomy of Bike Share Toronto stations
Capital Bikeshare dock spotter / data retriever. Text-based app for SMS devices.
show all Vancouver carshare, bikeshare, and transit options on one map. Access Car2Go, Evo, Modo, and Mobi Bikes in one place!
GitHub project (Project 3) repository for PDSND
⚡🚲⏰ Get a push notification in the morning for the nearest JUMP bike!
This project will join together multiple data sets (including air quality, weather, built environment, etc) to combine with bikeshare ridership to assess how the system responds to different conditions. Additionally, the data will be combined with variables reflecting changes in a local driving restriction policy to assess how the system respond…
Regression Analysis with the BikeShare data.
Udacity Data Analysis Nanodegree Project - Explore US Bikeshare Data
Ibiclou helps you find free bikes around you and see where you can take one or drop one off.
Bike sharing predictive model built using Python, Numpy and Pandas which is based on a vanilla neural network architecture.
Add a description, image, and links to the bikeshare topic page so that developers can more easily learn about it.
To associate your repository with the bikeshare topic, visit your repo's landing page and select "manage topics."