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.

Next Steps:

• Deployment
• Selectable test period
• Free data entry