Learn to build, tune, and evaluate a multiclass lasso model for predicting economic research paper categories using #TidyTuesday data. Explore the NBER working papers dataset, analyze weighted log odds, and implement feature engineering techniques. Master preprocessing steps, model specification, and hyperparameter tuning. Gain hands-on experience in making predictions and interpreting results. Follow along with Julia Silge's comprehensive tutorial, which includes code examples and in-depth explanations of each step in the process.