Simple neural network using vanila numpy
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Updated
Aug 23, 2022 - Python
Simple neural network using vanila numpy
Bike-Share is a project that allows you to explore data of the US bike-share system statistically.
Algorithm that attempts to guide a bikeshare truck in its task of optimally re-distributing bikes accross the network.
This repository is done as part of my Data Analyst Nanoodegree at Udacity, a modular program written in python 3 to help users interact with and explore US Bike-Share data of 3 major cities .
Simulation of Toronto's bike share network
Data of Bike renting from station to station in US in certain period of time
This project explores the database for a bike-share system for many major cities in the United States. It aims to uncover bike share usage patterns.
Python Client for Lyft Bike Sharing Data
BikeShareAnalyzer is a Python tool for analyzing bike share data. Get insights on popular times, stations, trip durations, and user information. Analyze data for cities like Chicago, New York, and Washington. Make informed decisions with valuable insights.
Bike Sharing in Washington D.C.
Forecast use of a city bikeshare system (Kaggle.com project)
This repository contains code to retrieve bike counter and bike share trip data from various cities across North America and Europe. Currently this repository is a work in progress.
This project was the second project in my data analysis nanodegree
Collect and pre-process historical trip data from major bike sharing companies
Linear Regression model for Bike sharing dataset
The repository is for dublin bikes app. Look at Wiki for development progress. Website shut down due to insufficient aws creds :(
Python3 library for working with the Philadelphia Indego Bike Share API
Clustering Bike Share Toronto time series data to identify temporal behavioural motifs.
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