GitHub topics: lifetime-value

Repositories

vijaykumar1799/Customer-Churn-Prediction-Retention-Strategy

Practical customer churn analysis and prediction using Python, XGBoost, and real-world business insights.

Language: Jupyter Notebook - Size: 2.62 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

sawallesalfo/Retail-360

Customers knowledge, supply chain movement and sales forecasting, Customer Lifetime value, churn and survival analysis

Language: Python - Size: 5.79 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

asenacak/customer-survivalAnalysis-cltv-segmentation

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

louizaaouaouche/Statistical-estimation-of-CLV

Language: Jupyter Notebook - Size: 9.38 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

manugaco/use_cases

Users business cases in python

Language: Jupyter Notebook - Size: 172 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

mriffaud/Handbook-for-Business-Growth

Data driven growth

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 2

Willofd101/ziln_cltv

A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)

Language: Python - Size: 94.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 0

Predict the Lifetime Value of clients fot the next 90 days based on data of 14 months of sales. One linear model (ElasticNet) trained for each of the 5 sales chanels. The final prediction is generated by the the sum of the predictions of each chanel for each client.

Language: Jupyter Notebook - Size: 23.7 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1