Now we move on to the second part of our project in Selection of machine learning models in multivariate analysis with anonymized data.
This second part is where glamor enter – predictive modeling, machine learning. Everyone is eager to start building machine learning models. I understand it and I feel the same emotion because I love this stage.
But before we get there, we must go through data processing – which is exactly what we covered in the previous tutorial.
We start by installing the XGBoost package, a favorite among those who participate in Machine learning competitions on the Kaggle platform.
# This package does not come with Anaconda and needs to be installed
!pip install -q xgboost
This package does not come with Anacondaso you will have to install it separately. TO…
