Different methods for churn prediction
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Updated
Apr 4, 2019 - Jupyter Notebook
Different methods for churn prediction
Churn Rate on Bank dataset using Keras (binary classification). Predict whether a particular customer would be leaving the bank in the future or not.
A model to predict customer churn using Spark
Repositório do Challenge de Data Science da Alura
Graph analytics for telecom customer churn prediction
NGO Fund Raising Attrition Churn Modelling
Análise Exploratória e Modelagem do dataset de uma empresa de telecomunicações, para prever se os clientes irão desistir ou continuar contratando os serviços da empresa. Um típico problema de classificação de Churn. Foi feita a manipulação, limpeza e visualização dos dados, e aplicado Regressão logística, Random Forest e XGBTree para a etapa de …
Customer churn XGBoost prediction of an e-commerce dataset
This repository contains the Customer churn prediction and it is been deployed in the front end with streamlit.
Retention Rate & Factors selection of Cloud based Subscribers using Machine Learning
For any company, customer acquisition is important. At the same time, retaining the existing customers is also very important. So for predicting whether the customer will churn or not can be done easily using neural networks.
Designed Pacman game with controls & UI | C# | Unity game engine
Repositório destinado a documentar o desafio de Data Science da Alura #alurachallengedatascience1
Данный проект выполнен в процессе обучения в Яндекс Практикум по программе Специалист Data Science +. Проект посвящен прогнозированию оттока клиентов банка на основе исторических данных.
A Telecom company is losing Customers to its competitors. With the historical customer churn information that they have, they want a ML Model to predict, which of their present customers may churn.
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