/Housing-prices-prediction-GUI

Random Forest Regression model was trained and was used to create a prediction GUI

Primary LanguagePythonGNU General Public License v2.0GPL-2.0

Housing-prices-prediction-GUI

This machine learning project helps you to get a better understanding on training a regression model but of course creating a machine learning model is not enough. You should use that model to create something more useful for the humankind. In this project i tried to apply my trained model into Tkinter GUI. I Hope you will find this project helpful.

Importing Libraries

Needed libraries and methods are imported into the IDE.

Exploration of Dataset

Imported dataset is examined in this part and the correlation between variables are shown.

Model Training

Random Forest Regression model is used but before begining to training the model first dataset is split into two subsets.

Model Accuracy

Model was trained and accuracy values of the model is checked. R2 score value is 0.75 but this project is about using a model in a GUI. Therefore, any model validation was not applied to the model.

Creation of GUI Using Tkinter

Under this headline GUI is formed and a prediction value from previously trained model is obtained by using entry values of GUI.