Y. Yu @ UChicago

Using LASSO Bootstraps to Predict Animal Crossing Rating

In this blog post, I will use the tidymodels meta-package to predict the animal crossing rating.

LASSO Model on Predicting GDPR Fines

In this blog post, I will use LASSO model to predict the GDPR fines.

PCA on Cocktail Ingredients (with recipes package used)

In this blog post, I will use step_pca() provided by the recipe package to apply PCA analysis to a cocktail dataset.

Using LASSO to Predict Monthly Brew Materials

In this blog post, I will use a data set about beer brewing materials provided by TidyTuesday to make prediction for the monthly barrels of several beer materials.

Random Forest on Classifying San Francisco Trees

In this blog post, I will use random forest to classify a multi-classification problem on SF Trees provided by TidyTuesday.

Using LASSO to Predict Office IMDB Rating

In this blog post, I will use LASSO model to predict IMDB rating of the Office show.

Random Forest, LASSO, and XGboost on Classifying School Total Minority

This blog post will use three models, i.e., Random Forest, LASSO, and XGboost on data sets provided by TidyTuesday about college costs and minority information.

Random Forest and XGboost on Predicting Continent

In this blog post, I will use a food consumption data set provided by TidyTuesday joined by a continent data set provided by the worlddatajoin package.

K-Nearest Neighbors & Decision Tree on Hotel Bookings

In this blog post, I will analyze a hotel booking dataset from TidyTuesday, and some of the ideas presented are inspired by Julia Silge’s blog post (link) for learning purposes solely.

Comparing Linear Regression & Random Forest on NFL Data

In this blog post, I will use tidyverse and tidymodels to analyze some NFL data sets from TidyTuesday.