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
  • Project to deploy a machine learning model based on Titanic dataset from Kaggle

    kaggle_titanic_deploy Project to deploy a machine learning model based on Titanic dataset from Kaggle In this project we used the Titanic dataset from

    Vivian Yamassaki 8 May 23, 2022
    A single Python file with some tools for visualizing machine learning in the terminal.

    Machine Learning Visualization Tools A single Python file with some tools for visualizing machine learning in the terminal. This demo is composed of t

    Bram Wasti 35 Dec 29, 2022
    Create large-scale ML-driven multiscale simulation ensembles to study the interactions

    MuMMI RAS v0.1 Released: Nov 16, 2021 MuMMI RAS is the application component of the MuMMI framework developed to create large-scale ML-driven multisca

    4 Feb 16, 2022
    BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python

    BioPy is a collection (in-progress) of biologically-inspired algorithms written in Python. Some of the algorithms included are mor

    Jared M. Smith 40 Aug 26, 2022
    Confidence intervals for scikit-learn forest algorithms

    forest-confidence-interval: Confidence intervals for Forest algorithms Forest algorithms are powerful ensemble methods for classification and regressi

    272 Dec 01, 2022
    Lingtrain Alignment Studio is an ML based app for texts alignment on different languages.

    Lingtrain Alignment Studio Intro Lingtrain Alignment Studio is the ML based app for accurate texts alignment on different languages. Extracts parallel

    Sergei Averkiev 186 Jan 03, 2023
    Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters

    Skforecast is a python library that eases using scikit-learn regressors as multi-step forecasters. It also works with any regressor compatible with the scikit-learn API (pipelines, CatBoost, LightGBM

    Joaquín Amat Rodrigo 297 Jan 09, 2023
    Provide an input CSV and a target field to predict, generate a model + code to run it.

    automl-gs Give an input CSV file and a target field you want to predict to automl-gs, and get a trained high-performing machine learning or deep learn

    Max Woolf 1.8k Jan 04, 2023
    ZenML 🙏: MLOps framework to create reproducible ML pipelines for production machine learning.

    ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tool agnostic, and has interfaces/abstraction

    ZenML 2.6k Jan 08, 2023
    Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices

    Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and t

    164 Jan 04, 2023
    A model to predict steering torque fully end-to-end

    torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f

    Shane Smiskol 4 Jun 03, 2022
    A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning

    pybullet-planning (previously ss-pybullet) A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and

    Caelan Garrett 260 Dec 27, 2022
    Distributed Computing for AI Made Simple

    Project Home Blog Documents Paper Media Coverage Join Fiber users email list Uber Open Source 997 Dec 30, 2022

    Python implementation of the rulefit algorithm

    RuleFit Implementation of a rule based prediction algorithm based on the rulefit algorithm from Friedman and Popescu (PDF) The algorithm can be used f

    Christoph Molnar 326 Jan 02, 2023
    Pragmatic AI Labs 421 Dec 31, 2022
    This repository contains the code to predict house price using Linear Regression Method

    House-Price-Prediction-Using-Linear-Regression The dataset I used for this personal project is from Kaggle uploaded by aariyan panchal. Link of Datase

    0 Jan 28, 2022
    A machine learning toolkit dedicated to time-series data

    tslearn The machine learning toolkit for time series analysis in Python Section Description Installation Installing the dependencies and tslearn Getti

    2.3k Jan 05, 2023
    Pandas Machine Learning and Quant Finance Library Collection

    Pandas Machine Learning and Quant Finance Library Collection

    148 Dec 07, 2022
    Automated Machine Learning with scikit-learn

    auto-sklearn auto-sklearn is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator. Find the documentation here

    AutoML-Freiburg-Hannover 6.7k Jan 07, 2023