CatBoost | BestHub

DataFunSummit

Mar 22, 2022 · Artificial Intelligence

Housing Price Estimation and Average Price Calculation Using 58.com Data and CatBoost

This article presents a comprehensive overview of 58.com’s real‑estate price system, describes how average prices are computed from platform data, explains three anomaly‑detection methods, and details a CatBoost‑based machine‑learning model for automated house valuation, including feature engineering and evaluation metrics.

CatBoostanomaly detectionhousing price

0 likes · 15 min read

Housing Price Estimation and Average Price Calculation Using 58.com Data and CatBoost

Python Programming Learning Circle

Feb 24, 2022 · Artificial Intelligence

Emerging Machine Learning Algorithms and Python Libraries to Watch in 2022

The article reviews three notable 2022 machine‑learning advancements—CatBoost, Amazon SageMaker's DeepAR forecasting, and the low‑code PyCaret library—explaining their unique advantages, typical use‑cases, and why they are expected to gain traction among data scientists.

AICatBoostDeepAR

0 likes · 7 min read

Emerging Machine Learning Algorithms and Python Libraries to Watch in 2022

Python Programming Learning Circle

Dec 21, 2021 · Artificial Intelligence

Introduction to CatBoost: Features, Advantages, and Practical Implementation

This article introduces CatBoost, outlines its key advantages such as automatic handling of categorical features, symmetric trees, and feature combination, and provides a step‑by‑step Python tutorial—including data preparation, model training, visualization, and feature importance analysis—using a CTR prediction dataset.

CatBoostFeature EngineeringPython

0 likes · 5 min read

Introduction to CatBoost: Features, Advantages, and Practical Implementation