#Machine Learning

This post includes just the running prediction of if the Dolores River will have a raftable release below McPhee Dam this winter. This is a post with just the results from a much longer post I put up a few days ago. This prediction is an update to the model I made in the previous post. The only thing I updated is I didn't know that you could run XGboost regression as count/Poisson, which looks to be much more accurate (which makes sense).

Will there be a raftable release below McPhee Dam this year? I hope so. In this post I'll use the {tidymodels} R package to predict the number of raftable release days with Xgboost. This post is an update to an earlier post. I take a slightly different approach to build this model and I think the model is more accurate than the last model I built.

I live next to the Dolores River. It’s an often overlooked gem of the southwest. It runs from just outside Rico, Colorado at its headwaters to the Colorado River near Moab, Utah. Rafting it is an experience.

Resources to understand and run random forests in r.

A collection of resources on data science and machine learning primarily in R.