ML Analyzer is a GUI-based machine learning tool built with Python and Tkinter that allows users to upload any dataset (.csv), preprocess it automatically, and perform either classification or regression using common ML algorithms — no coding required.
✅ Load and preview CSV datasets
✅ Automatic preprocessing:
- Handle missing values
- Label encode categorical features
- Scale numeric features
✅ Task detection (Classification or Regression)
✅ Select target column
✅ Choose ML model from dropdown
✅ Train the model and display results:
- Accuracy for classification
- R² Score and RMSE for regression
✅ Simple and interactive GUI
- Python 3.x
- Tkinter – for GUI
- Pandas, NumPy – data manipulation
- Scikit-learn – ML models and metrics
- (Optional) Seaborn, Matplotlib – for future visualizations
