This repository demonstrates an approach to predict LTV, using an application of SciPy BFGS optimization method to approximate a retention curve using a parametric power/log/hyperbolic functions, to optimize the mean squared error.
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This repository demonstrates an approach to predict LTV, using an application of SciPy BFGS optimization method to approximate a retention curve using a parametric power/log/hyperbolic functions, to optimize the mean squared error.
carrollstreet/LTV-Prediction
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This repository demonstrates an approach to predict LTV, using an application of SciPy BFGS optimization method to approximate a retention curve using a parametric power/log/hyperbolic functions, to optimize the mean squared error.
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