How to train XGBoost models in Python

Published: 16 January 2023
on channel: Lianne and Justin

73,417

1.7k

Welcome to How to train XGBoost models in Python tutorial. You'll build an XGBoost Classifier model with an example dataset, step-by-step.

By following this tutorial, you’ll learn:

✅What is XGBoost (vs. gradient tree boosting algorithm)
✅How to build an XGBoost model (Classifier) in Python, step-by-step:
Step #1: Explore and prep data
Step #2: Build a pipeline of training
Step #3: Set up hyperparameter tuning (cross-validation)
Step #4: Train the XGBoost model
Step #5: Evaluate the model and make predictions
Step #6: Measure feature importance (optional)

If you want to use Python to create XGBoost models to make predictions, this practical tutorial will get you started.

GitHub Repo with code: https://github.com/liannewriting/YouT...

Technologies that will be used:
☑️ JupyterLab (Notebook)
☑️ pandas
☑️ scikit-learn (sklearn)
☑️ category_encoders
☑️ xgboost Python package
☑️ scikit-optimize (skopt)

Links mentioned in the video

► Bank marketing dataset: https://archive.ics.uci.edu/ml/datase...

► What is gradient boosting in machine learning tutorial: fundamentals explained: https://www.justintodata.com/gradient...

► To learn Python basics, take our course Python for Data Analysis with projects: https://www.justintodata.com/courses/...

► sklearn pipeline: https://scikit-learn.org/stable/modul...

► Target Encoder: https://contrib.scikit-learn.org/cate...

► XGBClassifier documentation with hyperparameters definition: https://xgboost.readthedocs.io/en/sta...

There's also an article version of the same content. If you prefer reading, please check it out. How to build XGBoost models in Python: https://www.justintodata.com/xgboost-...

Get access to more data science materials, check out our website Just into Data: https://justintodata.com/

On this page of the site you can watch the video online How to train XGBoost models in Python with a duration of hours minute second in good quality, which was uploaded by the user Lianne and Justin 16 January 2023, share the link with friends and acquaintances, this video has already been watched 73,417 times on youtube and it was liked by 1.7 thousand viewers. Enjoy your viewing!

13,324

276