Implemeting Modern Day Boosting algos like LightGBM, XgBoost and Catboost to predict yield of Wild Blueberry, done as part of a Kaggle Competition.
-
Updated
Aug 7, 2023 - Jupyter Notebook
Implemeting Modern Day Boosting algos like LightGBM, XgBoost and Catboost to predict yield of Wild Blueberry, done as part of a Kaggle Competition.
Statistical Modelling / Tree based algorithms : Churn Analysis in retail industry using Python and PySpark
Simple ML classification Model and with MLOps (CML)
Predictive model for loan defaulters using LightGBM, HyperOpt and SHAP model interpretation.
Add a description, image, and links to the lighgbm topic page so that developers can more easily learn about it.
To associate your repository with the lighgbm topic, visit your repo's landing page and select "manage topics."