A Real-World Approach with XGBoost on Marketing Attribution Data
Leverage Triafire for ML-ready marketing data to predict which users will convert to paid. From feature engineering to model building,...
Posted by
Brian Roepke
on Tue 31 January 2023
How to Ensure You Can Explain Why Your Model Makes Predictions
Techniques to extract information from your model to explain why it makes predictions.
Posted by
Brian Roepke
on Sun 14 August 2022
6 Techniques for Feature Engineering in Your Next ML Project
Techniques for creating new features from data
Posted by
Brian Roepke
on Sun 15 May 2022
Demystify Machine Learning Model Selection, a Step by Step Guide
Leverage cross validation, performance metrics, and total runtime to determine the best model for your data.
Posted by
Brian Roepke
on Sun 01 May 2022
4 Methods that Power Feature Selection in a Machine Learning Model
Plus tips for dealing with categoric, numeric, and mixed data!
Posted by
Brian Roepke
on Mon 18 April 2022
Learn Excel’s Hidden, yet Powerful Tools for Linear Regression
Plus, Compare How R and Python Stack Up With the Same Data
Posted by
Brian Roepke
on Sun 27 March 2022