https://github.com/umutkavakli/integrated-machine-learning
An machine learning application that is integrated both desktop and web.
https://github.com/umutkavakli/integrated-machine-learning
flask machine-learning pyqt5
Last synced: about 2 months ago
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An machine learning application that is integrated both desktop and web.
- Host: GitHub
- URL: https://github.com/umutkavakli/integrated-machine-learning
- Owner: umutkavakli
- License: mit
- Created: 2022-12-12T19:29:38.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-10T19:02:03.000Z (over 3 years ago)
- Last Synced: 2025-08-22T05:40:55.635Z (11 months ago)
- Topics: flask, machine-learning, pyqt5
- Language: Jupyter Notebook
- Homepage:
- Size: 425 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Integrated Machine Learning
An machine learning application that is integrated both desktop and web. Therefore, you can use it prompting with two files. The application calculates cost according to selected ML model with taken inputs.
Inputs:
- Sheet Thickness (mm)
- Yield Strength (mpa)
- Tensile Strength (mpa)
- Mold Weight (Tons)
Output:
- Cost (Euro per Ton)
##### Models
- Linear Regression
- Decision Tree Regressor
- Random Forest Regressor
- XGBoost Regressor
- SVM
- K-NN
## Usage
To run app, start cloning repo into your local:
```
git clone https://github.com/umutkavakli/integrated-machine-learning.git
```
Move to project directory
```
cd integrated-machine-learning/
```
#### GUI
For desktop app:
```
python3 gui.py
```
#### Web Server
For web server app:
```
python3 web.py
```
