Github Thiru9573 Customer Churn Data From Sunbasedata Assignment

Github Thiru9573 Customer Churn Data From Sunbasedata Assignment Assignment. contribute to thiru9573 customer churn data from sunbasedata development by creating an account on github. Assignment. contribute to thiru9573 customer churn data from sunbasedata development by creating an account on github.

Github Samdeopa Sunbasedata Assignment Assgnment Given By Sunbase {"payload":{"feedbackurl":" github orgs community discussions 53140","repo":{"id":687952831,"defaultbranch":"main","name":"customer churn data from sunbasedata ","ownerlogin":"thiru9573","currentusercanpush":false,"isfork":false,"isempty":false,"createdat":"2023 09 06t10:54:51.000z","owneravatar":" avatars.githubusercontent. This repository contains a machine learning model to predict customer churn based on historical customer data. the project follows a typical machine learning project pipeline, from data preprocessing to model deployment. The document describes preprocessing steps performed on a customer churn dataset, including splitting the data into training and test sets, identifying categorical and numerical columns, and applying one hot encoding to the categorical columns. In this project, i built a churn prediction model using customer data to identify users at risk of leaving a subscription service. by predicting churn, businesses can take proactive measures to retain valuable customers.

Github Vimaurya Sunbasedata Assignment The document describes preprocessing steps performed on a customer churn dataset, including splitting the data into training and test sets, identifying categorical and numerical columns, and applying one hot encoding to the categorical columns. In this project, i built a churn prediction model using customer data to identify users at risk of leaving a subscription service. by predicting churn, businesses can take proactive measures to retain valuable customers. This repository contains a machine learning model to predict customer churn based on historical customer data. the project follows a typical machine learning project pipeline, from data preprocessing to model deployment. Assignment. contribute to thiru9573 customer churn data from sunbasedata development by creating an account on github. Assignment description: at sunbase, we prioritize understanding our customers and ensuring their satisfaction. to achieve this, we want to develop a machine learning model that predicts customer churn. This project involves the integration of a set of apis to create a customer management web application. the application will allow users to authenticate, view, create, update, and delete customer records using api calls.