Cyber-attack classification in the network traffic database using NSL-KDD dataset
-
Updated
Sep 25, 2020 - Python
Cyber-attack classification in the network traffic database using NSL-KDD dataset
Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices
Рекомендательная система постов для юзеров, на основе характеристик юзеров и информации об их действиях с ранее опубликованными постами. Учебный проект, собранный при прохождении курса StartML от KarpovCourses.
A comprehensive machine learning pipeline for churn prediction in telecom customers using CatBoost, featuring data preprocessing, exploratory data analysis, feature engineering, and model evaluation.
Classification task on census income dataset
A basic machine learning project to predict store item demand for the next three months using five years of historical data.
Add a description, image, and links to the catboost-model topic page so that developers can more easily learn about it.
To associate your repository with the catboost-model topic, visit your repo's landing page and select "manage topics."