R

random forest

Analysis of Kilter Board data, along with predictive models for V-grades based on holds and angle.

Analysis of Tension Board 2 data, along with predictive models for V-grades based on holds and angle.

Sistema de monitoreo de calidad del agua a través de un modelo Random Forest.

In this project, we use random forests used to measure the association between a cladogram and the terminals' metadata. This idea was first described by the Phyloinformatics Lab in Vieira Alves et al. (2025, DOI: 10.1111/cla.12610).

Финальная работа по курсу Введение в DS от Skillbox. Цель: анализ данных сервиса СберАвтоподписка, предсказание совершения целевого действия пользователя и подготовка модели к деплою в продакшн. Метрика: ROC-AUC

project for module 33.Airflow in the course "Basic Data Science" at Skillbox.

Entity Embeddings of categorical variables implementation in TensorFlow 2.0, with a comparison in prediction performances on a Kaggle dataset, against One Hot Encoding using a Random Forest.