This chapter delves into the Catboost algorithm, a machine learning method
renowned for its handling of categorical data through gradient boosting techniques. It
provides an in-depth analysis of Catboost's capabilities, contrasts it with other machine
learning algorithms, and discusses its applications across various industries.
Keywords: Catboost, Categorical data, Gradient boosting, Hyperparameter tuning, Machine learning, Overfitting, Predictive modeling, Supervised learning.
