This repository contains a machine learning model for classifying two-phase flow regimes in pipes. The model uses dimensionless parameters derived from fluid properties and pipe characteristics to predict the flow pattern.
- Data preprocessing and feature engineering
- Dimensionality reduction techniques (PCA and t-SNE)
- Machine learning model for flow pattern classification
- Visualization tools for data exploration and results analysis