JantaHack Cross Sell Prediction using CatBoost Classifier Model.

Credit Card Fraud

Catboost model is applied for imbalanced data set

Solution for Track # 2 (Prediction of the departure of a railway car for repair) by `fit_predict` team

Data Analysis and prediction on Kaggle dataset: Credit Risk Dataset

Материалы для прохождения учебного курса "DS for non DS", организованного ВШЭ для Райффайзенбанка

Flu Shot Learning: Predict H1N1 and Seasonal Flu Vaccines

End To End Machine Learning Project guided by Krish Naik from Ineuron.

Modelo de machine learning con series temporales que predice la cantidad de taxis para la próxima hora.

Выявление токсичных комментариев в отзывах покупателей интернет-магазина

Определение тональности текста

Projects were made during education at YandexPracticum "Data Science" specialization.

This project aims to detect bone fractures using machine learning and neural networks. It utilizes various machine learning models including AdaBoost, CatBoost, Logistic Regression, Random Forest, Support Vector Machine (SVM), XGBoost, Gradient Boosting, and LightGBM and and neural networks.

Project to produce supervised ML algorithm to predict which customers are likely to leave and produce .Rmd report

2020.04.15 2등 스타크래프트 게임 5만개의 경기 리플레이 데이터를 이용하여 게임에서 승리하는 선수를 예측. DACON/한국인공지능협회

This repository addresses a common scenario in the field of Machine Learning Engineering

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

Repository with notebook and solutions for Kaggle competition