AmirhosseinHonardoust/ML-Playground-Autodetect
A Streamlit-powered machine learning playground that automatically detects classification or regression tasks, builds pipelines with preprocessing, trains models interactively, and visualizes metrics using Plotly. Backward-compatible, fully responsive, and deployable on Streamlit Cloud or Docker.
This interactive web application helps data analysts, machine learning students, or educators quickly experiment with machine learning models. You upload a dataset, and it automatically determines whether you're solving a classification or regression problem. It then trains various models, visualizes the results, and allows you to download the trained model for future use, all through a simple browser interface.
Use this if you need to quickly prototype or demonstrate machine learning behavior on a dataset without writing extensive code.
Not ideal if you require advanced custom model architectures, deep learning capabilities, or highly specialized data transformations not covered by standard preprocessing.
Stars
22
Forks
—
Language
Python
License
MIT
Category
Last pushed
Nov 03, 2025
Commits (30d)
0
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