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

Developing a business strategy to meet the demand levels and meet the customer's expectations.

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.

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

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

Analyse de l'activité des stations Vcub dans la métropole de Bordeaux afin de détecter en amont les stations hors service

(Archived) The bike-sharing system named BikeSims is built by the members of the group Lab 1_2d as an outcome of the team project for the course Programming and Systems Development in UofG.

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.

my first capstone project

ShareABike Flutter App "Flotte"

This data analytics project explores the bike-sharing service in Helsinki, analyzing factors such as weather, time of day, and station usage to gain insights into how people use the service and its impact on transportation in the city.

Set of approaches aiming at the problem of predicting user behaviours in bike sharing systems. This project proposes a new heuristic solution - based on KNN algorithm with neural network as its distance function.