README.md

-------------------------------------------------------------------------------------------------\

INTRODUCTION

-------------------------------------------------------------------------------------------------\
This repository contains code and documentation for a snow machine learning final project in UCB MIDS W207 class. For this project we use linear regression to predict Airborne Snow Observatory (ASO) snow-water equivalent data using output from SnowModel (Liston and Elder, 2006). Unfortunately, the input and output data are too big to be provided in the repository. However, the code to create the analysis is provided as well as the output within the jupyter notebook cells. This repository is organized into three directories (etc,data_engineering, feature exploration, linear regression, and documentation). The etc directory contains a .yml file containing the python packages used for the analysis. The data engineering directory contains code used to merge and align the ASO grid to the SnowModel grid. The feature exploration directory contains a notebook for data exploration and data cleaning. The linear regression directory contains subdirectories containing notebooks related to OLS assumption investigation, grid and lasso models, as well as result visualization. Lastly, the documentation directory contains the project report and powerpoint. -------------------------------------------------------------------------------------------------\

REQUIREMENTS

-------------------------------------------------------------------------------------------------\
The python packages used to run the jupyter notebook is included in the .yml file
-------------------------------------------------------------------------------------------------\

MAINTAINERS

-------------------------------------------------------------------------------------------------\
Ross Mower rossamower@ucar.edu