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

Repo for the Lightgbm Models and Encoder

this repo covers an analysis that was done on a census database to associate demographic factors with the income level

Simple ML classification Model and with MLOps (CML)

Predictive model for loan defaulters using LightGBM, HyperOpt and SHAP model interpretation.