Extreme Gradient Boosting with XGBoost
Engineering and Technology
Short Description
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.
Long Description
Are you familiar with the fundamentals of supervised learning and interested in applying cutting-edge models to real-world datasets? Gradient boosting is currently one of the most widely used techniques for effectively modeling tabular datasets of any size. XGBoost, a highly efficient and scalable implementation of gradient boosting, has consistently produced winning models in online data science competitions and is extensively utilized across various industries. In this course, you will gain proficiency in utilizing this powerful library in conjunction with pandas and scikit-learn to construct and optimize supervised learning models. Through hands-on experience with actual datasets, you will tackle classification and regression problems.
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Course Details
- Duration
- 4 hours
- Difficulty
- Intermediate
- Format
- Short Course
- Price
- USD39.00
- Course Link More Information