Trade Mamba·14h agoPrediction Intervals with PyTorch: Quantile Regression Using Neural NetworksPart 3 of the Quantile Regression Series
Trade Mamba·2d agoQuantile Regression with CatBoost in Python: A Simple ExamplePredicting P10, P50, and P90 separately and together with MultiQuantile.A response icon1A response icon1
Trade Mamba·Nov 2Can Fancy Sequential Models Beat an MLP — and Can an MLP Beat CatBoost in Time Series Forecasting?Comparing MLPs, recurrent networks, Transformers, and CatBoost across six forecasting datasets.
Fedor Tarasov·Sep 19CatBoost Classification from Scratch in Python and ExcelWhat this article is aboutA response icon1A response icon1
InCode AppliedbyGustavo R Santos·Sep 18The 2-Minute Fix for Imbalanced Data: Mastering class_weights in CatBoostDo not discard data or invent fake samples. Handle class imbalance right inside your training algorithm.
Crystal X·Sep 4Use machine learning to predict on whether someone will purchase an electric vehicleElectric vehicles are popular due to their environmental benefits, lower operating costs, advanced technology, and government incentives…
InArtificial Intelligence in Plain EnglishbyDiogo Ribeiro·Aug 14The Leak You Built YourselfWhat CatBoost actually fixes, what it does not, and whether any of it still matters in 2026
İbrahim Salihreisoğlu·Jul 23Bulutta Karbon Ayak İzini Tahmin Etmek: Bir Bitirme Projesi HikâyesiGiriş
Priyanthan Govindaraj·May 29Build a Fraud Detection System at Production ScaleA complete ML engineering walkthrough of data pipelines, boosting models, online feature store, monitoring, and automated retraining.
