Topic: churn-modelling Goto Github
Some thing interesting about churn-modelling
Some thing interesting about churn-modelling
churn-modelling,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.
User: aadimangla
churn-modelling,- The project is based on a bank dataset where we analyzed each feature. To understand why customers are leaving.
User: abhisheksrivastava-07
churn-modelling,We conduct a comprehensive data analysis and model evaluation for a churn prediction problem
User: aitzaz-saleem
churn-modelling,Churn prediction based on bank customers
User: akashvs01
churn-modelling,Analyze IBM Telco Customer data to offer valuable insights for data-driven decision-making on customer retention to reduce churn
User: alatiku
churn-modelling, Bank churn data to carry out Exploratory data analysis and Logistic regression
User: antonygn
churn-modelling,Built a logistic regression based predictive model to identify customers at high risk of churn and identify the main indicators of churn.
User: atrishi
churn-modelling,Churn-modelling using Logistic Regression
User: avd1729
churn-modelling, Used Random Forest model to predict customers likely to churn and recommended discount and pricing strategies to improve customers retention.
User: babaniyi
churn-modelling,Churn_Modelling Using Deep Learning (Implemented ANN)
User: chandrakant817
churn-modelling,Data analysis using python by exploring and processing diverse datasets followed by data visualization. Linear regression , Multilinear regressions used for predictive modeling and outlier detection for identifying and handling data inconsistencies to improve model accuracy and reliability.
User: chetang696
churn-modelling,Simple Backpropagation using churn modelling dataset
User: codetit4n
churn-modelling,Employee Churn Analysis, Feature Importance and Prediction Using Ensembling Model
User: dintellect
churn-modelling,Challenge de Data Science da Alura - Alura-Voz
User: duartejr
churn-modelling,Customer abandonment modeling in big data
User: enesgokdemir
churn-modelling,Graduation Project Repository - Bogazici University IE 492 - Spring 2024
User: eylulrana
Home Page: https://ie.bogazici.edu.tr/courses/ie-492-project
churn-modelling,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.
User: fikahusnaamalinamubarok
churn-modelling,Churn Modelling with Bank Customer Prediction using ANN: Utilizing Artificial Neural Networks for predicting customer churn in banking scenarios.
User: harshitwaldia
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 modeloagem.
User: hugomuniz94
churn-modelling,This is a complete Project that revolves around churn modeling and it contains every aspect from data cleaning down to model deployment. The data of a bank was used in this implementation. An Artificial Neural Network was trained and used to predict the probability that a given customer would leave the bank(With 87% Test accuracy) and for deployment, an API was developed which can be used for single prediction as well as batch prediction for a number of customers
User: itrustnumbers
churn-modelling,Churn Modelling using XGBoost
User: jimschacko
churn-modelling,This Project is on the Customer Churn Prediction for a Particular bank in Europe. This Project is being developed for the DS 5220, Supervised Machine Learning under Dr. David Brady
User: kraoneu
churn-modelling,Repositório destinado a documentar o desafio de Data Science da Alura #alurachallengedatascience1
User: marcusferreira16
churn-modelling,Projeto realizado durante o primeiro challenge de data science da Alura.
User: mateussampaio1
churn-modelling,Redução da taxa de evasão de clientes (Churn Rate)
User: mauriciobedun
churn-modelling,⚡ Code for machine Learning Pipeline with Scikit-learn ⚡
User: muhammadtayyab-se
churn-modelling,Данный проект выполнен в процессе обучения в Яндекс Практикум по программе Специалист Data Science +. Проект посвящен прогнозированию оттока клиентов банка на основе исторических данных.
User: olgashipkova
churn-modelling,Verwendung von Tidymodel zur Vorhersage der Kundenabwanderung. | Using Tidymodels to predict customer churn.
User: phaecki
churn-modelling,This repository presents a machine learning classification project focused on predicting customer churn in the telecommunications industry.
User: rasmodev
churn-modelling,Customer churn prediction for telecom dataset
User: rohit-chandra
churn-modelling,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.
User: ruchit687
churn-modelling,A comprehensive project predicting customer churn for a telecommunications company using Logistic Regression, Decision Trees, and Random Forest models. Includes data preprocessing, feature engineering, model evaluation, and result visualization to provide actionable insights for customer retention.
User: shivangsingh26
churn-modelling,Repositório para o #alurachallengedatascience1
User: sthemonica
churn-modelling,
User: swarnava-96
churn-modelling,Customer Churn Analysis using R & RStudio
User: thzou
churn-modelling,
User: vinayak409
churn-modelling,Optimizing customer retention with FFNN-based churn prediction model
User: ywan3223
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