https://github.com/shakil1819/udacity-ml-project-1

Predicting Bike-sharing Demand Using Machine Learning with AutoGluon
https://github.com/shakil1819/udacity-ml-project-1

autogluon autogluon-mxnet machine-learning regression torch

Last synced: 19 days ago
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Predicting Bike-sharing Demand Using Machine Learning with AutoGluon

• Host: GitHub
• URL: https://github.com/shakil1819/udacity-ml-project-1
• Owner: shakil1819
• Created: 2024-05-11T11:07:57.000Z (about 2 years ago)
• Default Branch: master
• Last Pushed: 2024-05-11T13:51:08.000Z (about 2 years ago)
• Last Synced: 2025-08-31T21:38:39.970Z (9 months ago)
• Topics: autogluon, autogluon-mxnet, machine-learning, regression, torch
• Language: Jupyter Notebook
• Homepage:
• Size: 4.93 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Codeowners: CODEOWNERS

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README

          
Predicting Bike-sharing Demand Using Machine Learning with AutoGluon















# Project Description:

![kaggle Image](project/img/image.png)

Bike-sharing demand is highly relevant to related problems companies encounter, such as Uber, Lyft, and DoorDash. Predicting demand not only helps businesses prepare for spikes in their services but also improves customer experience by limiting delays.

## Setup

For some reason, this project runs the best with Python3.7 with zero errors.

- Setup Environment - Python 3.7 with notebook (If you are using locally) :

```bash

wget https://www.python.org/ftp/python/3.7.4/Python-3.7.4.tgz && tar -xvf Python-3.7.4.tgz && cd Python-3.7.4/ && ./configure --prefix=$HOME/Python37 && make && make install && cd .. && rm -rf Python-3.7.4.tgz && sudo add-apt-repository ppa:deadsnakes/ppa && sudo apt-get update && sudo apt-get install python3.7 && sudo update-alternatives --install /usr/bin/python python /usr/bin/python3.7 && virtualenv -p ~/Python3.7/bin/python3 .venv && source .venv/bin/activate && pip install notebook && ipython kernel install --user --name .venv --display-name "Python 3.7" && jupyter notebook

```

Project Completion Badge :


![alt text](project/img/badge.png)