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Machine Learning with XGBoost Using scikit-learn in Python

At the core of applied machine learning is supervised machine learning. In this course, Machine Learning with XGBoost Using scikit-learn in Python, you will learn how to build supervised learning models using one of the most accurate algorithms in existence. First, you will discover what XGBoost is and why it’s revolutionized competitive modeling. Next, you will explore the importance of data wrangling and see how clean data affects XGBoost’s performance. Finally, you will learn how to build, train, and score XGBoost models for real-world performance. When you are finished with this course, you will have a foundational knowledge of XGBoost that will help you as you move forward to becoming a machine learning engineer.
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Rating Not enough ratings
Length 1.6 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructor Mike West
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects Programming IT & Networking
Tags Programming Languages Data Professional Data Analytics

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Pluralsight

Rating Not enough ratings
Length 1.6 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructor Mike West
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects Programming IT & Networking
Tags Programming Languages Data Professional Data Analytics

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