Gain Practical Skills for Business Applications of Machine Learning with XGBoost in Python & R by solving a Case Study
Instructed by Diogo Alves de Resende 5 hours on-demand video, 2 articles & 1 downloadable resource
What you’ll learn
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Understand the underlying concepts of XGBoost.
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Code in Python and R to implement XGBoost.
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Apply XGBoost to a business problem in the form of a case study.
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Utilize XGBoost to solve similar business problems in the future.
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Understand how to effectively communicate the results of using XGBoost to stakeholders.
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Enhance your skills in coding and machine learning through hands-on practice with XGBoost.
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Understand the role of machine learning in business and how it can be used to improve decision-making and solve complex problems.
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Use machine learning techniques, including XGBoost, to analyze and interpret data in the context of business applications.
Who this course is for:
- Data scientists looking to improve their machine learning skills and understanding of XGBoost.
- Business professionals who want to learn how to apply XGBoost to solve business problems and make data-driven decisions.
- Computer science students interested in learning about the latest machine learning techniques and how to implement them.
- Entrepreneurs looking to leverage the power of machine learning to improve their businesses.
- Data analysts who want to expand their toolkit and learn how to use XGBoost to better understand and analyze data.
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