Essays about: "Churn prediction"

Showing result 16 - 20 of 41 essays containing the words Churn prediction.

  1. 16. Churn prediction using time series data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Patrick Granberg; [2020]
    Keywords : churn time prediction; classification; lstm; gru; rf; svm;

    Abstract : Customer churn is problematic for any business trying to expand their customer base. The acquisition of new customers to replace churned ones are associated with additional costs, whereas taking measures to retain existing customers may prove more cost efficient. READ MORE

  3. 17. Long Term Forecasting of Industrial Electricity Consumption Data With GRU, LSTM and Multiple Linear Regression

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Roxana Buzatoiu; [2020]
    Keywords : Time Series Analysis; Recurrent Neural Networks; long-term Forecasting; Exploratory Data Analysis; Multiple Linear Regression; ACF; PACF; Energy Sector; Tidsserieanalys; återkommande neurala nätverk; långtidsprognoser; undersökande dataanalys; multipel linjär regression; ACF; PACF; energisektor;

    Abstract : Accurate long-term energy consumption forecasting of industrial entities is of interest to distribution companies as it can potentially help reduce their churn and offer support in decision making when hedging. This thesis work presents different methods to forecast the energy consumption for industrial entities over a long time prediction horizon of 1 year. READ MORE

  4. 18. Bank Customer Churn Prediction : A comparison between classification and evaluation methods

    University essay from Uppsala universitet/Statistiska institutionen

    Author : Isabelle Tandan; Erika Goteman; [2020]
    Keywords : machine learning; cross-validation; k-fold; leave-one-out; random forest; decision trees; k-nearest neighbor; logistic regression; supervised learning; supervised statistical learning; binary classification; customer churn; bank customer churn.;

    Abstract : This study aims to assess which supervised statistical learning method; random forest, logistic regression or K-nearest neighbor, that is the best at predicting banks customer churn. Additionally, the study evaluates which cross-validation set approach; k-Fold cross-validation or leave-one-out cross-validation that yields the most reliable results. READ MORE

  5. 19. Churn Prediction : Predicting User Churn for a Subscription-based Service using Statistical Analysis and Machine Learning Models

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Amanda Flöjs; Alexandra Hägg; [2020]
    Keywords : Churn Prediction; User Churn; User Retention; Subscription-based Service; Machine Learning Models;

    Abstract : Subscription-based services are becoming more popular in today’s society. Therefore, any company that engages in the subscription-based business needs to understand the user behavior and minimize the number of users canceling their subscription, i.e. minimize churn. READ MORE

  6. 20. Customer Churn Analysis and Prediction using Machine Learning for a B2B SaaS company

    University essay from KTH/Matematisk statistik

    Author : Marie Sergue; [2020]
    Keywords : Churn; statistics; machine learning; Churn; statistik; maskininlärning;

    Abstract : This past decade, the majority of services have been digitalized and data more and more available, easy to store and to process in order to understand customers behaviors. In order to be leaders in their proper industries, subscription-based businesses must focus on their Customer Relationship Management and in particular churn management, that is understanding customers cancelling their subscription. READ MORE