CatBoost !
Discover in this article how to use the latest open-source gradient boosting algorithms: the CatBoost!
All to understand and practice A.I. in a simple way
Discover in this article how to use the latest open-source gradient boosting algorithms: the CatBoost!
Find out in this article why XGBoost is the star of Machine Learning competitions … and especially how to use it!
This article explains in practice why and how to scale (Feature Scaling) the characteristics of a Machine Learning model implemented with Scikit-Learn.
After doing feature engineering, it’s time to fine-tune the hyperparameter so as to get the best predictions!
Engage in your first Kaggle competition and get 75% with the Titanic!
Find out in this article how to evaluate and therefore be able to optimize your ML classification model.
Discover in a simple and fun way how a Linear Regression algorithm works.
This article shows a simple example of logistic regression application