Aim:
It was prepared to understand the capabilities of Streamlit and to have an idea about the applications that can be made.
👩💻 Read the article of project https://medium.com/@sengul-krdrl/developing-prediction-app-with-streamlit-2b8e4f8abfef
Three models trained with randomly prepared historical data predicted the next 20 data points:
1- Linear Regressor
2- XGB Regressor
3- LGBM Regressor
On the last page, the performances of these 3 models were compared and the best model was plotted.
streamlit-app.mov
Next Steps:
- Deployment
- Selectable test period
- Free data entry