Water Quality Management

Core Business Problem:

This project uses important water quality indicators to find meaningful clusters amongst several water bodies sampled. These clusters can aid the identification of pollution sources and can be used as a guide towards facilitating effective and efficient reparation of water pollution and poor water quality.

Data/Setup:

• Accessing the Data
• Assumptions about the data
• How these influence analyses
  

Project Structure and Methodology:

Business Impact:

Conclusion and Future Work:

Key Skills:

Deep Learning | Autoencoders | Unsupervised Learning | Clustering | Deep Clustering | Keras | Data Visualization