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 | 5 hours on-demand video course
XGBoost is a state-of-the-art Machine Learning algorithm. It is well known for being faster to compute and its results more accurate than other well-known techniques like Neural Networks or Random Forest. XGBoost is also one of the most preferred algorithms in Data Science competitions around the world. Fortunately, it is a very accessible algorithm to grasp and implement.
The XGBoost for Business: Machine Learning Course in Python & R course focus is on the application of XGBoost in the business world. We will solve a Direct Marketing case study and conclude that we can increase our sales efficiency by 50% while having minimal impact on revenue.
What you’ll 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.
Recommended Course
Decision Trees, Random Forests, AdaBoost & XGBoost in Python
Bayesian Machine Learning in Python: A/B Testing
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