Statistical Modelling / Tree based algorithms : Churn Analysis in retail industry using Python and PySpark

Implemeting Modern Day Boosting algos like LightGBM, XgBoost and Catboost to predict yield of Wild Blueberry, done as part of a Kaggle Competition.

Simple ML classification Model and with MLOps (CML)

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

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

Pandasデータ処理