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

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
  • Tangram makes it easy for programmers to train, deploy, and monitor machine learning models.

    Tangram Website | Discord Tangram makes it easy for programmers to train, deploy, and monitor machine learning models. Run tangram train to train a mo

    Tangram 1.4k Jan 05, 2023
    Predict the output which should give a fair idea about the chances of admission for a student for a particular university

    Predict the output which should give a fair idea about the chances of admission for a student for a particular university.

    ArvindSandhu 1 Jan 11, 2022
    Python 3.6+ toolbox for submitting jobs to Slurm

    Submit it! What is submitit? Submitit is a lightweight tool for submitting Python functions for computation within a Slurm cluster. It basically wraps

    Facebook Incubator 768 Jan 03, 2023
    This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch

    This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch. It uses a simple TestEnvironment to test the algorithm

    Martin Huber 59 Dec 09, 2022
    Pydantic based mock data generation

    This library offers powerful mock data generation capabilities for pydantic based models. It can also be used with other libraries that use pydantic as a foundation, for example SQLModel, Beanie and

    Na'aman Hirschfeld 396 Dec 28, 2022
    PLUR is a collection of source code datasets suitable for graph-based machine learning.

    PLUR (Programming-Language Understanding and Repair) is a collection of source code datasets suitable for graph-based machine learning. We provide scripts for downloading, processing, and loading the

    Google Research 76 Nov 25, 2022
    A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

    A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

    Aayush Malik 80 Dec 12, 2022
    Deploy AutoML as a service using Flask

    AutoML Service Deploy automated machine learning (AutoML) as a service using Flask, for both pipeline training and pipeline serving. The framework imp

    Chris Rawles 221 Nov 04, 2022
    The Fuzzy Labs guide to the universe of open source MLOps

    Open Source MLOps This is the Fuzzy Labs guide to the universe of free and open source MLOps tools. Contents What is MLOps, anyway? Data version contr

    Fuzzy Labs 352 Dec 29, 2022
    MaD GUI is a basis for graphical annotation and computational analysis of time series data.

    MaD GUI Machine Learning and Data Analytics Graphical User Interface MaD GUI is a basis for graphical annotation and computational analysis of time se

    Machine Learning and Data Analytics Lab FAU 10 Dec 19, 2022
    ArviZ is a Python package for exploratory analysis of Bayesian models

    ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage, model checking, comparison and diagnostics

    ArviZ 1.3k Jan 05, 2023
    To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction

    To-Be is a machine learning challenge on CodaLab Platform about Mortality Prediction. The challenge aims to adress the problems of medical imbalanced data classification.

    Marwan Mashra 1 Jan 31, 2022
    Made in collaboration with Chris George for Art + ML Spring 2019.

    Deepdream Eyes Made in collaboration with Chris George for Art + ML Spring 2019.

    Francisco Cabrera 1 Jan 12, 2022
    using Machine Learning Algorithm to classification AppleStore application

    AppleStore-classification-with-Machine-learning-Algo- using Machine Learning Algorithm to classification AppleStore application. the first step : 1: p

    Mohammed Hussien 2 May 02, 2022
    Python-based implementations of algorithms for learning on imbalanced data.

    ND DIAL: Imbalanced Algorithms Minimalist Python-based implementations of algorithms for imbalanced learning. Includes deep and representational learn

    DIAL | Notre Dame 220 Dec 13, 2022
    MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees.

    MooGBT is a library for Multi-objective optimization in Gradient Boosted Trees. MooGBT optimizes for multiple objectives by defining constraints on sub-objective(s) along with a primary objective. Th

    Swiggy 66 Dec 06, 2022
    Cohort Intelligence used to solve various mathematical functions

    Cohort-Intelligence-for-Mathematical-Functions About Cohort Intelligence : Cohort Intelligence ( CI ) is an optimization technique. It attempts to mod

    Aayush Khandekar 2 Oct 25, 2021
    Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters

    Somoclu Somoclu is a massively parallel implementation of self-organizing maps. It exploits multicore CPUs, it is able to rely on MPI for distributing

    Peter Wittek 239 Nov 10, 2022
    AtsPy: Automated Time Series Models in Python (by @firmai)

    Automated Time Series Models in Python (AtsPy) SSRN Report Easily develop state of the art time series models to forecast univariate data series. Simp

    Derek Snow 465 Jan 02, 2023
    Price forecasting of SGB and IRFC Bonds and comparing there returns

    Project_Bonds Project Title : Price forecasting of SGB and IRFC Bonds and comparing there returns. Introduction of the Project The 2008-09 global fina

    Tishya S 1 Oct 28, 2021