Introduction to Machine Learning for Water Professionals

A hands-on machine learning course designed for water sector professionals, covering fundamental ML concepts and practical applications in hydrology and water resource management.

Course Structure

Module 1: Data Fundamentals

• Data Analysis
• Data Transformation

Module 2: Classification

• Classification

Module 3: Regression

• Regression

Module 4: Neural Networks

• Neural Networks

Module 5: Time Series

• Time Series Processing
• Time Series Forecast

Module 6: Convolutional Neural Networks

• Convolutional Neural Networks
• Water Mapping

Assignment

• Assignment - Predict average annual river discharge using hydrological data

Getting Started

Work through modules sequentially. Each module builds upon previous concepts following the ML workflow: data preparation → model training → evaluation → iteration.

Solution notebooks are provided for modules 1-4.

Requirements

• Python 3.x
• Jupyter Notebook
• Key libraries: pandas, numpy, scikit-learn, matplotlib