Repositório para o #alurachallengedatascience1

Machine-Learning-1

Challenge de Data Science da Alura - Alura-Voz

- The project is based on a bank dataset where we analyzed each feature. To understand why customers are leaving.

A churn model is a mathematical representation of how churn impacts your business. Churn calculations are built on existing data (the number of customers who left your service during a given time period). A predictive churn model extrapolates on this data to show future potential churn rates.

⚡ Code for machine Learning Pipeline with Scikit-learn ⚡

Churn Modelling using XGBoost

Customer churn prediction for telecom dataset

Repositório destinado a documentar o desafio de Data Science da Alura #alurachallengedatascience1

Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.

Churn Modelling - unusual rate at which customers leaving the company, we need to figure out why? we need to understand the problem? We actually need to create a demographic segmentation model to tell the bank/company which customers are at high risk of leaving.

Данный проект выполнен в процессе обучения в Яндекс Практикум по программе Специалист Data Science +. Проект посвящен прогнозированию оттока клиентов банка на основе исторических данных.

Built a logistic regression based predictive model to identify customers at high risk of churn and identify the main indicators of churn.

Churn_Modelling Using Deep Learning (Implemented ANN)

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 …

Simple Backpropagation using churn modelling dataset

This repository aims to find out whether or not customers who churn from telecommunication companies. And looking for modeling solutions to get predictions of future churn.

Redução da taxa de evasão de clientes (Churn Rate)