XGBoost for Business in Python and R

XGBoost for Business in Python and R

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

Apply eXtreme Gradient Boosting (XGBoost) in a Direct Marketing case study. Python and R code templates included.

Url: View Details

What you will learn

• XGBoost framework
• Code XGBoost in R and Python
• Confusion Matrix

Rating: 4.52174

Level: Beginner Level

Duration: 5 hours

Instructor: Diogo Alves de Resende