Live Code Along: Machine Learning with XGBoost in Python

During this code-along, Lis Sulmont, Workspace Architect at DataCamp, will use XGBoost to predict booking cancellations with gradient boosting, a powerful machine learning technique! Through this, you’ll learn how to create, evaluate, and tune XGBoost models efficiently. Publication: https://app.datacamp.com/workspace/new?_tag=template&templateKey=codealong-python-xgboost Let us know what you thought of this Code-Along by filling out this survey: https://docs.google.com/forms/d/e/1FAIpQLSf1m2jcMu-qllXXLhJPKGnidW80CfTTbqfEC_fGDxDvFl_DpA/viewform Slides: https://s3.amazonaws.com/assets.datacamp.com/email/other/Machine+Learning+with+XGBoost+in+Python+-+presentation.pptx.pdf Here are some additional reads: How Workspace is enabling learners across the globe | DataCamp https://www.datacamp.com/blog/how-workspace-is-enabling-learners-across-the-globe Creating Trust in Data with Data Observability | DataCamp https://www.datacamp.com/blog/creating-trust-in-data-with-data-observability Webinar Roundup for Data Science and Analytics in April 2020 | DataCamp https://www.datacamp.com/blog/webinar-roundup-for-data-science-and-analytics-in-april-2020 We will organize more iterations like these in the future, so stay tuned on our social media pages, Slack Workspace (https://datacamp-global.slack.com/archives/C029035FU72), and on the DataCamp Webinars page (https://www.datacamp.com/webinars).