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CatBoost
41 posts
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Popular Articles
Handling imbalanced classes in CatBoost: Techniques and Solutions
Last Updated: 23 July 2025
Gradient boosting algorithms have become a cornerstone in machine learning, particularly in handling complex datasets with heterogeneous features and noisy data. One of th...
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Building a Stock Price Prediction Model with CatBoost: A Hands-On Tutorial
Last Updated: 23 July 2025
Have you ever wondered how adults make decisions about what to buy and sell in the stock market? Though it may appear like a bewildering professional world, have no fear !...
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CatBoost Feature Importance
Last Updated: 23 July 2025
In the field of machine learning, knowing which characteristics (or data points) are most significant for generating predictions can be quite critical. One way to determin...
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E-commerce product recommendations using catboost
Last Updated: 23 July 2025
E-commerce platforms use product recommendations to enhance customer experience and increase sales. CatBoost is a gradient boosting algorithm designed to efficiently handl...
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Enhancing CatBoost Model Performance with Custom Metrics
Last Updated: 23 July 2025
CatBoost, a machine learning library developed by Yandex, has gained popularity due to its superior performance on categorical data, fast training speed, and built-in supp...
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Demand forecasting in retail using catboost
Last Updated: 23 July 2025
In the fast-paced world of retail, accurate demand forecasting is crucial for optimizing inventory management, minimizing costs, and ensuring customer satisfaction. Tradit...
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CatBoost Training, Recovering and Snapshot Parameters
Last Updated: 23 July 2025
CatBoost means categorical boosting. It is a powerful open-source machine learning library known for its efficiency, accuracy, and ability to handle various data types. It...
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CatBoost Ranking Metrics: A Comprehensive Guide
Last Updated: 23 July 2025
CatBoost, shortfor "Categorical Boosting," is a powerfulgradient boostinglibrary developedby Yandex. Itis renowned forits efficiency, accuracy, andability to handlecategor...
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CatBoost's Categorical Encoding: One-Hot vs. Target Encoding
Last Updated: 23 July 2025
CatBoostis a powerfulgradient boostingalgorithm thatexcels in handlingcategorical data. It incorporatesunique methodsfor encodingcategorical features, including one-hot en...
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Understanding the Overfitting Detector in CatBoost
Last Updated: 23 July 2025
CatBoost, a gradient boosting library developed by Yandex, is known for its efficient handling of categorical features and robust performance. One of its key features is t...
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Email Spam Detection using Catboost
Last Updated: 23 July 2025
In today'sdigital age, emailremains one ofthe most widelyused communicationmediums. However, the prevalenceof spam emailsposes significantchallenges forboth individualsand...
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Visualize the Training Parameters with CatBoost
Last Updated: 23 July 2025
CatBoost is a powerful gradient boosting library that has gained popularity in recent years due to its ease of use and high performance. One of the key features of CatBoos...
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Transform Text Features to Numerical Features with CatBoost
Last Updated: 23 July 2025
Handling text and category data is essential to machine learning to create correct prediction models. Yandex's gradient boosting library, CatBoost, performs very well. It ...
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Catboost Regression Metrics
Last Updated: 23 July 2025
CatBoost is a powerful gradient boosting library that has gained popularity in recent years due to its ease of use, efficiency, and high performance. One of the key aspect...
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Catboost Classification Metrics
Last Updated: 23 July 2025
When it comes to machine learning, classification is a fundamental task that involves predicting a categorical label or class based on a set of input features. One of the ...
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