environmental-ml

This repository has some fine excerpts of machine learning frameworks built to curate your projects in domains like Fluid Mechanics, Turbulence, Air Pollution, Geospatial Analysis and so on.

Environmental ML & Geospatial Analysis

This repository contains code, notebooks, and projects related to environmental data analysis, machine learning, and geospatial modeling.

Modules

1. Module 1: Background & EDA (PCA, SVD)
2. Module 2: Regression & Regularization
3. Module 3: Supervised Machine Learning
4. Module 4: Unsupervised Machine Learning
5. Module 5: Geospatial Data Analysis
6. Module 6: Environmental Case Studies (Air, Water, Energy)

Folder Structure

• data/: Raw and processed datasets.
• notebooks/: Jupyter notebooks per module.
• scripts/: Reusable Python scripts for ML models and utilities.
• projects/: Real-world case studies.
• tests/: Unit tests.
• docs/: References and reports.

Setup

git clone https://github.com/yourusername/environmental-ml.git
cd environmental-ml
pip install -r requirements.txt