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Extreme Gradient Boosting with XGBoost

Datacamp, Online
Length
4 hours
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Delivery
Self-paced Online
Length
4 hours
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Delivery
Self-paced Online
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Course description
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

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  • Self-paced Online
  • Online
  • English
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Training content
Do you know the basics of supervised learning and want to use state-of-the-art models on real-world datasets? Gradient boosting is currently one of the most popular techniques for efficient modeling of tabular datasets of all sizes. XGboost is a very fast, scalable implementation of gradient boosting, with models using XGBoost regularly winning online data science competitions and being used at scale across different industries. In this course, you'll learn how to use this powerful library alongside pandas and scikit-learn to build and tune supervised learning models. You'll work with real-world datasets to solve classification and regression problems.

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Datacamp
Data Science Central UK Limited, 25 Luke Street
EC2A 4EE London
+34000000000

Datacamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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