Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

Last update: Sep 09, 2022

Overview

Payment-Date-Prediction

Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

Categorize the invoice into different buckets based on predicted payment date.

The invoices dataset contains the past payment information and behaviour of various buyers. Based on the previous payment patterns, the ML model will predict what will be the date a payment is made by the customer for an invoice.
The model will also predict which aging bucket the invoice falls into based on the predicted payment date.
The different buckets will be :

0-15 days

16-30 days

31-45 days

46-60 days

Greater than 60 days

Owner

GitHub Repository

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Machine Learning Model to predict the payment date of an invoice when it gets created in the system.

Related tags

Overview

Payment-Date-Prediction

Owner

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Tutorials, examples, collections, and everything else that falls into the categories: pattern classification, machine learning, and data mining

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DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

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