Introduction to Regression Models by Using R and Tidymodels
Explore regression models using R and tidymodels to predict numeric values. Learn when to use regression, train models, and evaluate performance through hands-on bike rental prediction.
Fit and Predict With Logistic Regression for Bird Bath Observations in Australia
Learn to model bird bath observations in Australia using tidymodels, combining model specifications with feature engineering recipes for effective fitting and prediction.
Use Tidymodels Workflowsets to Predict Human-Computer Interactions from Star Trek
Explore machine learning with tidymodels workflowsets to predict speaker type in Star Trek interactions, featuring data preprocessing, model evaluation, and result analysis.
Predict Housing Prices in Austin TX with Tidymodels and XGBoost
Explore feature engineering for boosted tree models using Austin housing data. Learn to incorporate text information as indicator variables and tune models for accurate price predictions.
Predict Water Availability in Sierra Leone With Random Forests
Explore random forest modeling with tidymodels to analyze water sources in Sierra Leone, covering data preparation, model building, and evaluation techniques.
Estimate Change in CEO Departures With Bootstrap Resampling
Explore bootstrap resampling with tidymodels to analyze trends in CEO departures, using generalized linear models and #TidyTuesday data.
Compute Bootstrap Confidence Intervals for Super Bowl Commercial Characteristics
Explore how Super Bowl commercial characteristics evolve over time using tidymodels for bootstrap confidence intervals and data visualization techniques.
Predict Class Membership for the Datasaurus Dozen With Tidymodels
Explore multiclass evaluation metrics for random forest models using the Datasaurus Dozen dataset, focusing on model performance and visualization techniques.
Impute Missing Data and Handle Class Imbalance for Himalayan Climbing Expeditions
Learn to predict survival in Himalayan climbing expeditions using tidymodels in R. Explore data handling, imputation, and modeling techniques for imbalanced datasets.
How to Handle High Cardinality Predictors for Data on Museums in the UK
Explore effect and likelihood encodings for high cardinality predictors in tidymodels, using UK museum data to demonstrate practical applications.
Handling Coefficients for Modeling Collegiate Sports Expenditures
Explore collegiate sports expenditures using linear modeling and tidymodels, focusing on handling coefficients and intervals for insightful analysis of financial patterns.
Explore Changes in Art Over Time With Tidymodels
Analyze art trends in the Tate collection using tidymodels for regression modeling, text feature engineering, and model diagnostics to uncover insights on changing art media usage over time.
Poisson Regression with Tidymodels for Package Vignette Counts
Learn to fit zero-inflated Poisson regression models using tidymodels to analyze R package vignette counts, with practical examples and code demonstrations.
Predict Giant Pumpkin Weights With Tidymodels Workflowsets
Learn to predict giant pumpkin weights using tidymodels workflowsets. Explore data visualization, modeling techniques, and parallel processing for efficient analysis of #TidyTuesday pumpkin competition data.
Create a Custom Metric with Tidymodels and NYC Airbnb Prices
Learn to create custom metrics, predict Airbnb prices, and combine tabular and text data in models using tidymodels with NYC listings data.
Impute Missing Data for Historical Voyages of Captive Africans Using Tidymodels
Learn to impute missing data in historical records of enslaved Africans' voyages using tidymodels, enhancing understanding of this crucial aspect of American history.
Modeling GDPR Violations in R With Tidymodels
Explore data preprocessing and modeling for GDPR violations using tidymodels in R. Learn feature engineering, workflow creation, and prediction techniques with real-world data.
Lasso Regression with Tidymodels and The Office
Implement lasso regression using tidymodels and The Office data to learn regularized modeling techniques in R, with practical examples and visualizations.
Data Preprocessing and Resampling Using Tidymodels
Explore data preprocessing and resampling techniques using tidymodels in R, focusing on college tuition and diversity data to build effective models and improve analysis skills.
Get Started With Tidymodels Using Vaccination Rate Data
Explore MMR vaccination rates using tidymodels in R, from data preparation to Bayesian modeling and result comparison.
Modeling Hotel Bookings in R Using Tidymodels and Recipes
Learn to predict hotel bookings using R, tidymodels, and recipes. Explore data, create visualizations, and build decision tree models to gain insights into booking patterns and improve predictions.