Project building ML & DL models to detect spam messages.

This analysis helps predict cardiovascular diseases in human body.

learning python day 6

in this section will be numerical feature selection on diabetes dataset

EasyTorch is a research-oriented pytorch prototyping framework with a straightforward learning curve. It is highly robust and contains almost everything needed to perform any state-of-the-art experiments.

Учебные проекты курса "Специалист по Data Science", Яндекс Практикум

Jupyter тетрадка с решением Kaggle соревнования Leopard Classification Challenge

Clustering validation with ROC Curves

На основании данных о поведении клиентов построить модель с максимально большим значением F1 для задачи классификации, которая будет определять клиентов, склонных к оттоку.

Предсказание сердечно-сосудистых заболеваний.

The telecom operator Interconnect would like to forecast churn of their clients. To ensure loyalty, those who are predicted to leave will be offered promotional codes and special plans.

R | Classification Project

Machine learning utility functions and classes.

Analysis and Prediction of the Customer Churn Using Machine Learning Models (Highest Accuracy) and Plotly Library

This repository contains some of the machine learning projects I have done.

Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.

Новицкий Никита (6231-010402D) Машинное обучение для задач информационной безопасности (магистры). Лабораторная работа №1

Increasing your Reddit karma. Help Reddit Moderators improve karma by autosubmitting posts to the correct subreddit. Reddiquette: Cross-post if it belongs to either or both subs?

Using various supervised learning estimators in Sci-Kit Learn to get the best prediction accuracy if possible for the pima indians dataset.