Qfit is a Python-based Graphical User Interface (GUI) designed to democratize Machine Learning in mechanical engineering labs. It wraps the low-code power of PyCaret in a user-friendly Tkinter dashboard, allowing researchers to perform complex regression and classification without writing code.
- Automated Preprocessing: Handles missing values, one-hot encoding, and train-test splits automatically.
- Model Comparison: Trains and compares 20+ models (Random Forest, XGBoost, etc.) in seconds.
- Visual Analytics: Generates residual plots, confusion matrices, and feature importance graphs instantly.
- Core Logic: PyCaret (AutoML)
- Interface: Tkinter (Python)
- Data Handling: Pandas, NumPy