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Search: Customer-Churn-Analysis
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Showing 10 results from 33
archd3sai/Customer-Survival-Analysis-and-Churn-Prediction
GitHub Jupyter Notebook MIT LicenseIn this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
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GitHub
Pradnya1208/Telecom-Customer-Churn-prediction
GitHub Jupyter NotebookCustomers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.
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GitHub
DataVisualizationExpert/Customer-Churn-Analysis-using-Power-BI
GitHub MIT LicenseUnlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. β‘οΈ
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GitHub
treselle-systems/customer_churn_analysis
GitHub RIn the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their lo... Read more
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GitHub
TatevKaren/artificial-neural-network-business_case_study
GitHub PythonBusiness Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and evaluation of an ANN model. (Includes: Case Study Paper, Code)
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GitHub
Dhanusiya17/Customer_churn_risk_analysis
GitHub PythonNo description available from source.
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GitHub
rohanmistry231/Customer-Churn-Analysis-and-Classification
GitHub Jupyter Notebook MIT LicenseA Python-based project for analyzing customer churn using data visualization and machine learning models to predict churn probability. Employs libraries like Pandas, Scikit-learn, and Matplotlib for data preprocessing, model training, and insightful visualizations.
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GitHub
Aghoreshwar/Awesome-Customer-Analytics
GitHub Python GNU General Public License v3.0Customer analytics has been one of hottest buzzwords for years. Few years back it was only marketing departmentβs monopoly carried out with limited volumes of customer data, which was stored in relational databases like Oracle or appliances like Teradata and Netezza. SAS & SPSS were the leaders i... Read more
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GitHub
AliAmini93/Telecom-Churn-Analysis
GitHub Jupyter NotebookDeveloped a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights for targeted customer retention.
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GitHub
andrewcole33/telco_churn_analysis
GitHub Jupyter NotebookA detailed customer churn analysis for Telco Communication (Kaggle Dataset). IN PROGRESS (5/28)
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GitHub
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Showing first 33 accessible GitHub results.