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
  • CVXPY is a Python-embedded modeling language for convex optimization problems.

    CVXPY The CVXPY documentation is at cvxpy.org. We are building a CVXPY community on Discord. Join the conversation! For issues and long-form discussio

    4.3k Jan 08, 2023
    scikit-learn is a python module for machine learning built on top of numpy / scipy

    About scikit-learn is a python module for machine learning built on top of numpy / scipy. The purpose of the scikit-learn-tutorial subproject is to le

    Gael Varoquaux 122 Dec 12, 2022
    A python library for easy manipulation and forecasting of time series.

    Time Series Made Easy in Python darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from

    Unit8 5.2k Jan 04, 2023
    ThunderGBM: Fast GBDTs and Random Forests on GPUs

    Documentations | Installation | Parameters | Python (scikit-learn) interface What's new? ThunderGBM won 2019 Best Paper Award from IEEE Transactions o

    Xtra Computing Group 648 Dec 16, 2022
    Book Item Based Collaborative Filtering

    Book-Item-Based-Collaborative-Filtering Collaborative filtering methods are used

    Şebnem 3 Jan 06, 2022
    Microsoft Machine Learning for Apache Spark

    Microsoft Machine Learning for Apache Spark MMLSpark is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark

    Microsoft Azure 3.9k Dec 30, 2022
    Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions.

    Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions. There is a lot more info if you head over to the documentation. You can also take a look at

    Better 240 Dec 26, 2022
    A Python implementation of FastDTW

    fastdtw Python implementation of FastDTW [1], which is an approximate Dynamic Time Warping (DTW) algorithm that provides optimal or near-optimal align

    tanitter 651 Jan 04, 2023
    Classification based on Fuzzy Logic(C-Means).

    CMeans_fuzzy Classification based on Fuzzy Logic(C-Means). Table of Contents About The Project Fuzzy CMeans Algorithm Built With Getting Started Insta

    Armin Zolfaghari Daryani 3 Feb 08, 2022
    mlpack: a scalable C++ machine learning library --

    a fast, flexible machine learning library Home | Documentation | Doxygen | Community | Help | IRC Chat Download: current stable version (3.4.2) mlpack

    mlpack 4.2k Jan 01, 2023
    Iterative stochastic gradient descent (SGD) linear regressor with regularization

    SGD-Linear-Regressor Iterative stochastic gradient descent (SGD) linear regressor with regularization Dataset: Kaggle “Graduate Admission 2” https://w

    Zechen Ma 1 Oct 29, 2021
    This is a Machine Learning model which predicts the presence of Diabetes in Patients

    Diabetes Disease Prediction This is a machine Learning mode which tries to determine if a person has a diabetes or not. Data The dataset is in comma s

    Edem Gold 4 Mar 16, 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
    Dive into Machine Learning

    Dive into Machine Learning Hi there! You might find this guide helpful if: You know Python or you're learning it 🐍 You're new to Machine Learning You

    Michael Floering 11.1k Jan 03, 2023
    A logistic regression model for health insurance purchasing prediction

    Logistic_Regression_Model A logistic regression model for health insurance purchasing prediction This code is using these packages, so please make sur

    ShawnWang 1 Nov 29, 2021
    Scikit-Learn useful pre-defined Pipelines Hub

    Scikit-Pipes Scikit-Learn useful pre-defined Pipelines Hub Usage: Install scikit-pipes It's advised to install sklearn-genetic using a virtual env, in

    Rodrigo Arenas 1 Apr 26, 2022
    Machine learning template for projects based on sklearn library.

    Machine learning template for projects based on sklearn library.

    Janez Lapajne 17 Oct 28, 2022
    Accelerating model creation and evaluation.

    EmeraldML A machine learning library for streamlining the process of (1) cleaning and splitting data, (2) training, optimizing, and testing various mo

    Yusuf 0 Dec 06, 2021
    Visualize classified time series data with interactive Sankey plots in Google Earth Engine

    sankee Visualize changes in classified time series data with interactive Sankey plots in Google Earth Engine Contents Description Installation Using P

    Aaron Zuspan 76 Dec 15, 2022
    Predicting Baseball Metric Clusters: Clustering Application in Python Using scikit-learn

    Clustering Clustering Application in Python Using scikit-learn This repository contains the prediction of baseball metric clusters using MLB Statcast

    Tom Weichle 2 Apr 18, 2022