JantaHack Cross Sell Prediction using CatBoost Classifier Model.
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Updated
Oct 26, 2020 - Jupyter Notebook
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
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
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.
Predicting the time remaning for the next Earthquake. Kaggle Competition
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