XGBoost for Business in Python and R
What you'll learn
- XGBoost framework
- Code XGBoost in R and Python
- Confusion Matrix
- Parameter tuning
- SHAP values in Python and R
Requirements
- Basic knowledge of Python or R
Description
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
Who this course is for:
- Data scientists curious about XGBoost
- Business analysts looking into data science
- Data Analysts looking to learn about XGBoost
- People curious about learning new Data Science techniques
Course content
- Preview05:36
- 03:55Installing Python and Spyder
- 03:22Installing R and RStudio
- 01:43Reviews and future of this course
- 00:10Let's connect!
Instructor
![Diogo Alves de Resende](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.7 Instructor Rating
- 89 Reviews
- 698 Students
- 3 Courses
Hey guys! I am really happy that you are reading this. I work for Zalando as Commercial Planning and Strategy manager. Per my job, there is a really high focus on predictive analytics and econometrics, which are two areas I am really passionate about.
In the past I have done Radio as anchor in my hometown which is probably my favorite college experience. I have also worked with the United Nations on the topic of Mobile Money in Lesotho.
I will try that my courses are really practical. I will always try to provide real life examples and datasets. I aim to give you guys the tools to succeed in your professional careers.
Please feel free to send me a message.
Looking forward to work with you :)
Diogo