Building a Prediction Model in Gradio

In this project, we will build an elastic net regression model to predict property prices. We will build an interface that allows the user to see how the hyperparameters affect the model performance, all in the UI. There will be three tasks for this mini-project:

1. Prepare the training model data and display data in the UI.

2. Build an interface that allows users to train an elastic net model with varying hyperparameters.

3. Build an inference pipeline using the trained model.