Learn LIGHTGBM with Real Code Examples

Learn Python and scikit-learn basics

Understand decision trees and gradient boosting

Practice LightGBM on classification and regression tasks

Explore hyperparameter tuning and early stopping

Integrate into ML pipelines and production workflows

Week 1: train simple classifier/regressor

Week 2: hyperparameter tuning and cross-validation

Week 3: ranking tasks and custom objective functions

Week 4: GPU training and distributed learning

Week 5: deployment and integration into pipelines

Explain gradient boosting and LightGBM's leaf-wise growth.

How does LightGBM handle categorical features?

Difference between GBDT, GOSS, and EFB?

How to prevent overfitting in LightGBM?

Compare LightGBM with XGBoost and CatBoost

lgb.LGBMClassifier() = classification model

lgb.LGBMRegressor() = regression model

lgb.Dataset() = dataset object for training

train() = train booster with parameters

predict() = generate predictions

Hands-On Gradient Boosting with LightGBM

Mastering Machine Learning with LightGBM

Advanced Boosting Techniques in Python

Tabular ML with LightGBM and XGBoost

Applied Machine Learning with LightGBM

LightGBM official tutorials

Kaggle LightGBM example notebooks

Medium blogs on LightGBM tips

YouTube tutorials on gradient boosting

Hands-on tabular ML courses using LightGBM

https://lightgbm.readthedocs.io/

https://github.com/microsoft/LightGBM

LightGBM GitHub

StackOverflow LightGBM tag

Kaggle forums

Reddit ML and Kaggle communities

Blogs and tutorials online

LightGBM GitHub repository

StackOverflow LightGBM tag

Kaggle forums and competitions

Microsoft DMTK discussions

Medium and blog tutorials