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

A comprehensive machine learning pipeline for churn prediction in telecom customers using CatBoost, featuring data preprocessing, exploratory data analysis, feature engineering, and model evaluation.

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.

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.