XGBoost for Business: Machine Learning Course in Python & R

Gain Practical Skills for Business Applications of Machine Learning with XGBoost in Python & R by solving a Case Study

Created by: Diogo Alves de Resende
Analytics and Data Science expert

What Will I Learn?

• Understand the underlying concepts of XGBoost.
• Code in Python and R to implement XGBoost.
• Apply XGBoost to a business problem in the form of a case study.
• Utilize XGBoost to solve similar business problems in the future.
• Understand how to effectively communicate the results of using XGBoost to stakeholders.
• Enhance your skills in coding and machine learning through hands-on practice with XGBoost.
• Understand the role of machine learning in business and how it can be used to improve decision-making and solve complex problems.
• Use machine learning techniques, including XGBoost, to analyze and interpret data in the context of business applications.

Requirements

• Basic knowledge of Python or R

Target audience

• 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.