Feature Engineering App.

The “Feature Engineering App” streamlit app streamlines the process of creating new features for machine learning models.
With this app, users can easily extract, transform, and select features from their datasets.
The app allows users to perform a wide range of feature engineering techniques such as scaling, normalization, and one-hot encoding.
Additionally, it includes advanced feature selection methods like Lasso and Random Forest feature importances.
This can save time and effort for data scientists and machine learning engineers who frequently work on feature engineering tasks.
The app also includes a built-in visualization tool that can help users understand the impact of the engineered features on their models.
With the Feature Engineering App, users can improve their models’ performance and ultimately make better predictions.