Extreme Gradient Boosting with XGBoost

Starting at USD 39.00
4 hours duration

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

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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Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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