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Extreme Gradient Boosting with XGBoost

Extreme Gradient Boosting with XGBoost

930/month
Start anytime
Self paced
English
Course by
DatacampCourses from Datacamp
Certificate awarded
Intermediate
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Checklist

Certification

You will get a certificate on completing this course.

University

This course is not affiliated with any university.

Price

This course costs very less.

Edvicer's Rewards

You can get a cashback of ₹ 500 on buying this course.

Why should you choose this course?

Description

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.

Syllabus

Classification with XGBoost
Fine-tuning your XGBoost model
Regression with XGBoost
Using XGBoost in pipelines

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