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Building Decision Trees From Scratch In Python

Automatic machine learning for tabular data. ⚡🔥⚡

AutoFlow : Automatic machine learning workflow modeling platform

Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.

📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian software firms📆

Development Repository for GPU-accelerated GBDT training

使用朴素贝叶斯、SVM、逻辑回归、RF、XGBoost、LightGBM的方法实现垃圾邮件分类任务，博客链接：https://blog.csdn.net/ljx0951/article/details/106116944

Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI