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
Сборник всех выполненных учебных проектов курса Яндекс.Практикум "Специалист по Data Science".
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
"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.
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