RohollahWhy We Still Need Linear Regression, Even with Powerful Models Like CatBoostLinear regression is preferred for its simplicity, speed, and lower risk of overfitting, though less accurate than tree-based models.Oct 15
Dubranov AlexanderCatBoost Classifier: A Simple Guide for EveryoneThis post is made for those who wish to understand what CatBoost is and why it’s important in the world of machine learning. It’s a…Feb 23
Sebastian BuzduganRandom Forest XGBoost vs LightGBM vs CatBoost: Tree-Based Models ShowdownIn the ever-evolving landscape of machine learning, tree-based models stand tall as some of the most powerful and versatile tools in a…Sep 29Sep 29
Aravind KolliUnderstanding CatBoost: The Gradient Boosting Algorithm for Categorical DataIn the realm of machine learning, gradient boosting techniques have revolutionized the way we approach both regression and classification…Feb 13Feb 13
Kishan AXGBoost vs. CatBoost vs. LightGBM: A Guide to Boosting AlgorithmsBoosting algorithms are among the most powerful tools in machine learning for enhancing predictive performance. Among the most popular…Sep 18Sep 18
RohollahWhy We Still Need Linear Regression, Even with Powerful Models Like CatBoostLinear regression is preferred for its simplicity, speed, and lower risk of overfitting, though less accurate than tree-based models.Oct 15
Dubranov AlexanderCatBoost Classifier: A Simple Guide for EveryoneThis post is made for those who wish to understand what CatBoost is and why it’s important in the world of machine learning. It’s a…Feb 23
Sebastian BuzduganRandom Forest XGBoost vs LightGBM vs CatBoost: Tree-Based Models ShowdownIn the ever-evolving landscape of machine learning, tree-based models stand tall as some of the most powerful and versatile tools in a…Sep 29
Aravind KolliUnderstanding CatBoost: The Gradient Boosting Algorithm for Categorical DataIn the realm of machine learning, gradient boosting techniques have revolutionized the way we approach both regression and classification…Feb 13
Kishan AXGBoost vs. CatBoost vs. LightGBM: A Guide to Boosting AlgorithmsBoosting algorithms are among the most powerful tools in machine learning for enhancing predictive performance. Among the most popular…Sep 18
Ramazan OlmezEnd-to-End Machine Learning Project: Churn PredictionThe main objective of this article is to develop an end-to-end machine learning project. For a model to be truly useful, it needs to be…Feb 2218
AasthajhaPredicting Bank Marketing Campaign Engagement with ML Design Patterns and MLFlowMachine learning is a complex field that often requires a balance between creativity, experimentation, and optimization. In my latest…Sep 12
Julian WangBuilding Ranking Model using CatBoost: An Python Code Example From Loading Data to Model DeploymentBuilding a ranking model using CatBoost involves several key steps, from data preparation to deployment. Here’s a step-by-step guide to…Sep 12
