Constructing, evaluating, and optimizing fashions.
Now we’re shifting to the second a part of our mission on Machine Studying Mannequin Choice in Multivariate Evaluation with Anonymized Information.
This second half is the place the glamour is available in — predictive modeling, machine studying. Everybody is raring to leap straight into constructing machine studying fashions. I get that, and I really feel the identical pleasure as a result of I like this stage.
However earlier than we get there, we should undergo knowledge processing — which is strictly what we lined within the earlier tutorial.
We start by putting in the XGBoost package deal, one of many favorites amongst those that take part in Machine Studying competitions on the Kaggle platform.
# This package deal doesn't include Anaconda and must be put in
!pip set up -q xgboost
This package deal doesn’t include Anaconda, so it’s essential set up it individually. To…
