An ML App

The “ML App” is a Streamlit-based application that allows users to perform end-to-end machine learning tasks with minimal coding.
The app takes in user data and guides them through the process of selecting and training a model, evaluating its performance, and making predictions. Users can select from a variety of pre-built models, including popular algorithms such as Random Forest, XGBoost and Neural Network.
The app has a built-in evaluation metric such as accuracy, which allows users to easily compare different models and select the best one.
With the ML App, users can quickly and easily implement machine learning models without needing extensive coding knowledge.