Ultimate XGBoost Tutorial in R Programming

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XGBoost is a state of 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 tutorial, I use XGBoost to find out the characteristics that correlate best with Remote Work. With the help of the SHAP values, which bring explanatory power to Machine Learning, I determine the top drivers by importance.

Here are some of the conclusions of the analysis:
1) Remote workers earn on average less.
2) Remote workers show lower career satisfaction.
3) Medium-size companies, between 500 and 10k employees, are less likely to hire remote workers.