Is XGBoost really all we need?
If you have experience building machine learning models on tabular data you will have experienced that gradient boosting based algorithms like catboost, lightgbm and xgboost are... »
Adjusting the bootstrap in Random Forest
The RandomForest algorithm was introduced by Breiman back in 2001 (paper). In 2022 it is still a commonly used algorithm by many data scientists. The only... »
Reproducible Reports with MkDocs
In the post Using MkDocs for technical reporting I explained how MkDocs works and why it’s a good choice for writing technical reports. In this post... »
Introducing Skorecard for building better logistic regression models
skorecard is an open source python package that provides scikit-learn compatible tools for bucketing categorical and numerical features and building traditional credit risk acceptance models (scorecards)... »
Using MkDocs for technical reporting
In this post I will explain why MkDocs is well suited for writing technical reports on machine learning models and introduce relevant parts of the MkDocs... »