Water Quality Prediction
- 0 Collaborators
This project aims to predict water quality, a critical aspect of environmental and public health. Leveraging a comprehensive dataset and advanced machine learning techniques, we strive to provide valuable insights into the suitability of water for consumption. ...learn more
Project status: Published/In Market
Overview / Usage
Streamlit Link - https://oneapi-water-quality.streamlit.app/
GitHub Link - https://github.com/AdarshWase/OneAPI-Water-Quality-Competition
Methodology / Approach
- Conducted on Intel Optimized DevCloud Python environment, identifying prevalent outliers and missing values. Utilized Seaborn and Matplotlib for extensive visualization.
- Implemented a multi-faceted validation strategy, creating multiple validation datasets to provide robust performance indicators.
Technologies Used
AI Analytics Toolkit, Modin, XGBoost, LightGBM, MLFlow, DVC and GitHub
Repository
https://github.com/AdarshWase/OneAPI-Water-Quality-Competition