Updated 10 months ago

lightgbm • Rank 33.1 • Science 46%

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Updated 10 months ago

lleaves • Rank 19.6 • Science 54%

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

Updated 10 months ago

eland • Rank 20.0 • Science 26%

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Updated 10 months ago

lightsnip • Science 44%

Hard fork of curso-r/treesnip specifically for CCAO LightGBM regressions

Updated 10 months ago

https://github.com/amr-yasser226/intrusion-detection-kaggle • Science 26%

End-to-end pipeline for multi-class cyber-attack detection using per-flow network features: data profiling, deduplication, skew-correction, outlier treatment, feature engineering, imbalance handling, and tree-based modeling (XGBoost, LightGBM, CatBoost, stacking), with a final Kaggle submission scoring 0.9146 public / 0.9163 private.

Updated 10 months ago

supertree • Science 31%

Visualize decision trees in Python

Updated 10 months ago

https://github.com/ccao-data/report-model-benchmark • Science 13%

Benchmark of timing for CCAO models on different hardware

Updated 10 months ago

https://github.com/ahmedshahriar/customer-churn-prediction • Science 13%

Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.

Updated 10 months ago

crop-yield-estimate • Science 44%

Harness the power of machine learning to forecast rice and wheat crop yields per acre in India, aiming to empower smallholder farmers, combat poverty and malnutrition, utilizing data from Digital Green surveys to revolutionize agriculture and promote sustainable practices in the face of climate change for enhanced global food security.