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
What you will 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.
Why take this 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 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.
WHY XGBOOST FOR BUSINESS IN Python?
The learning process is divided into 2. The first part is the Intuition tutorial. The aim is for you to understand why the method makes sense. As well, we will go through all underlying concepts you need to know to implement XGBoost. The second part is the Practice tutorials, where we will code in Python and R, and solve together a Direct Marketing problem.
1| BUSINESS EXAMPLE TO FOSTER INTUITION
We will start the intuition tutorial by explaining the Case Study and the problem statement. One of the benefits of giving actual business problems as examples is that you will find similar or even equal issues in your current company. In turn, this enables you to apply what you have learned immediately.
By the end of the intuition tutorial, you will be able to easily explain XGBoost to your colleagues, manager, and stakeholders.
2| HANDS-ON CODING IN PYTHON AND R
We will code together. We will start from scratch, building the code line by line. As also an online coding student, I feel this has been the easiest way to learn.
On top, we write the code so you can download it and use it in your work and projects. Additionally, I will explain what you have to change to use in your dataset and solve the problem you have at hand.
XGBoost for Business in Python and R is a course that naturally extends into your career.
***SUMMARY
The course is an end-to-end application of XGBoost with a simple intuition tutorial, hands-on coding, and, most importantly, is actionable in your career.
Feel free to reach out in case you have any questions, and I hope to see you inside!
Diogo
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