Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/febrian2108/analisis-data-peminjaman-sepeda-machinelearning
Final Project Dicoding "Memulai Pemrograman dengan Python"
https://github.com/febrian2108/analisis-data-peminjaman-sepeda-machinelearning
analysis analytics jupyter-notebook machine-learning python python3 stramlit
Last synced: about 1 month ago
JSON representation
Final Project Dicoding "Memulai Pemrograman dengan Python"
- Host: GitHub
- URL: https://github.com/febrian2108/analisis-data-peminjaman-sepeda-machinelearning
- Owner: febrian2108
- Created: 2024-11-13T14:45:23.000Z (about 2 months ago)
- Default Branch: main
- Last Pushed: 2024-11-13T15:21:33.000Z (about 2 months ago)
- Last Synced: 2024-11-23T23:17:37.086Z (about 1 month ago)
- Topics: analysis, analytics, jupyter-notebook, machine-learning, python, python3, stramlit
- Language: Jupyter Notebook
- Homepage: https://pinjamsepeda.streamlit.app/
- Size: 112 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Bike Sharing Analisis Dashboard
Project ini dibuat untuk menyelesaikan kelas "Memulai Pemrograman dengan Python" diplatform Dicoding. Dataset yang digunakan di dapatkan dari link berikut: https://www.kaggle.com/datasets/lakshmi25npathi/bike-sharing-dataset/discussion?sort=undefined## Screenshots
![App Screenshot](https://imgur.com/j7p018Z.png)
![App Screenshot](https://imgur.com/XcqHHgL.png)
![App Screenshot](https://imgur.com/tGxk1tT.png)
## Installation
Install Dicoding-Ai
1. Clone the repo
```sh
https://github.com/febrian2108/Analisis-Data-Peminjaman-Sepeda-MachineLearning.git
```
2. Go to project
```sh
cd Analisis-Data-Peminjaman-Sepeda-MachineLearning
```
3. build .venv
```sh
python -m venv .venv
```
4. activate .venv
```sh
.venv\Scripts\Activate
```
5. install requirements
```sh
pip install -r requirements.txt
```
6. running project
```sh
streamlit run main.py
```
## DemoLive Demo: https://pinjamsepeda.streamlit.app/