Table of Contents
- An Introduction Machine Learning and Decision Trees
- Decision Tree Ensembles: Bagging and Boosting
- An Overview of LightGBM in Python
- LightGBM, XGBoost and Deep Learning
- LightGBM Parameter Optimization and Tuning with Optuna
- Solving Real World Problems with LightGBM
- LightGBM AutoML with FLAML
- Machine Learning Pipelines with LightGBM
- Deploying LightGBM to AWS SageMaker
- Deploying LightGBM with PostgresML
- Distributed Training and Serving of LightGBM using Dask

