Eriayomide/Customer-Churn-modelling

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Created about 3 years ago
Updated about 1 year ago

Eriayomide/Customer-Churn-modelling

Eriayomide

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This project takes all inclusive approach to determine customers who are likely to churn based on certain criteria

Recommendation-Engine

The aim of this project is to build a recommender system that uses collaborative filtering techniques with implicit feedback in python that can recommend the next best products to customers based on historical purchases

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AHG-5Years-Sales-Forecast

Creating a sales forecast of 5 years for AHG in all the regions where they have presence using seasonal Arimal model with Facebook prophet

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Market-Basket-Analysis-for-AHG-Group

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Implementing-Facebook-prophet-for-sales-forecating

implementation of sales forecasting with SARIMA and Facebook prophet, this project works tends to implement two models for forecasting sales for a period of 5 years.

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Prospective_Donor-Analytics

Building a machine learning model to predict prospective donor so that the organization could focus their campaign on only those has the attribute of the past donor.

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