A deep learning Project for the Udacity course "Deep Learning Nanodegree".

This is a data analysis project from Dicoding to pass the Learning Data Analysis with Python class. This project aims to analyse and create a simple dashboard based on data from Capital Bikeshare.

SmartCommute is an Android Application that combines public transport and bike sharing (CallABike) to find the optimal route.

Developed a relational database that will enable quick response and analysis on the current state of Divvy’s operations in regard to ridership, station locations, other factors affecting them. Then built a scoring model to optimize the number of stations and bikes allocated by zip codes

This project aims to predict the number of bikes using regression models., following the CRISP-DM approach

This Repository contains basic programs on Deep Learning and fewer parts of Computer Vision too.

The project focuses on utilizing regression techniques on historical data to predict the demand for the bike-sharing program in Seoul.

Build a simple neural network to predict the number of bikeshare user on a given day

A repository of my course module submissions in Machine Learning

# 2019 Metro Bike Share Data Exploration and Visualization ## Dataset [Metro Bike Share] (https://en.wikipedia.org/wiki/Metro_Bike_Share) is a bicycle sharing system in the Los Angeles, California metropolitan area. The service was launched on July 7, 2016. It is administered by the Los Angeles County Metropolitan Transportation Authority (Metro…

Prediction of trip duration in bicycle sharing systems using coarse-grained station representation

Time-series forecast using Neural Prophet to predict bike sharing trip

To understand the variables and build LR Model for Bike Sharing Rentals

This project aims to identify the number of bike rental with statical methods and predict the number based on its trend by time series evaluation

Analysis part of the capstone project of Google Data Analytics Professional Certificate

An analysis of Citi Bike ride data with Tableau visualizations and dashboards.

MagicMirror module that displays bike availability in the Budapest public bike system (aka MOL Bubi).

Comparison of Different Algorithms in Predicting Bike Sharing Hourly Count

The goal of this project is to perform an Explorartory Data Analysis with visualization and use a liner regression model to predict the number of bikes rented.