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Supply Prescript

Day 1 Progress

Project Overview

Supply Prescript is an end-to-end machine learning project that predicts supply chain shipment delays and recommends optimal business decisions using prescriptive analytics.

Tech Stack

  • Python
  • Pandas
  • NumPy
  • Scikit-learn
  • XGBoost
  • PuLP
  • FastAPI
  • Streamlit

Status

Project initialization in progress.

Supply-Prescript

An end-to-end machine learning project for predicting supply chain delays and providing prescriptive business recommendations using Python, XGBoost, FastAPI, Streamlit, and optimization techniques

2dcd98ef6c4f2f9ce16b2ac0ac2457d33c617452

Day 2 Progress

  • Created the data folder structure.
  • Added raw and processed folders.
  • Downloaded the supply chain dataset from Kaggle.
  • Stored the dataset in the data/raw folder.
  • Added dataset documentation.

About

An end-to-end machine learning project for predicting supply chain delays and providing prescriptive business recommendations using Python, XGBoost, FastAPI, Streamlit, and optimization techniques

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