XGBoost Case Study in R

Data Heroes
Data Heroes
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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.

In this video, we solve an Age Prediction problem, which I labeled the bouncer case study. The goal is to try and predict if people are above 18. From a business perspective, it is fundamental to know people's age as it can be a determinant of behavior. Moreover, it is essential to tailor communication to customers.
4 سال پیش در تاریخ 1399/04/24 منتشر شده است.
3,940 بـار بازدید شده
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