🎯 PCA Classification Visualizer
A Streamlit-based app to explore and visualize datasets using Principal Component Analysis (PCA) in 3D.
Upload a CSV, tune feature values in real-time, and visually inspect how classification is affected by feature movements.
💡 Key Capabilities
- 3D PCA visualization
- Class-wise color-coded scatter plots
- Interactive sliders for custom data points
- Real-time feedback on PCA positioning
- Feature loading heatmaps