Vlad's Repository for ESS 469

Welcome to my MLGeo repository! This project demonstrates advanced data analysis techniques in Python using popular libraries such as pandas, numpy, and matplotlib.

Installation

To install and set up the project on your local machine, follow these steps:

1. Clone the repository:

   git clone https://github.com/UW-MLGEO/MLGEO2024_vmunte.git

2. Create and activate a Conda environment:

   conda env create --file MLGeo-dataset/environment.yml
   conda activate mlgeo_dataset

Running the Notebook

Once the environment is set up, you can open and run the Jupyter notebook by finding it in the cloned repository.

Favorite Earth Science Topics

My favorite earth science topics consist of:

• Climate Dynamics
• Climate Sensitivity
• Hydrological Impacts
• Drought/Flood
• Cloud Feedbacks

Licensing

This repository uses MIT licesning because it is a simple, permissive license that allows users to 'copy, modify, redistribute, and sell the software without many restrictions.'