[Phase 2] - VN1 Forecasting - Accuracy Challenge
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[Phase 2] - VN1 Forecasting - Accuracy Challenge

Flieber, Syrup Tech, and SupChains Launch an AI-Driven Supply Chain Forecasting Competition

VN1 Forecasting - Accuracy Challenge
Machine Learning/AI
Enterprise
E-commerce/Retail
Total Prize 20,000
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ajcnpe adpan · 04 October 2024

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Benchmarking 30 statistical/Machine Learning models on the VN1 Forecasting -- Accuracy challenge using Python package nnetsauce

Benchmarking 30 statistical/Machine Learning models

Description

In the examples, I show you how you can start the competition by benchmarking 30 statistical/Machine Learning models on a few products, based on the validation set provided yesterday. No tuning, no overfitting. Only hold-out set validation.

Collaboratory Link

https://colab.research.google.com/github/Techtonique/nnetsauce/blob/master/nnetsauce/demo/thierrymoudiki_20241003_vn1_competition.ipynb

Additional Link

https://thierrymoudiki.github.io/blog/2024/10/04/python/vn1-forecasting-challenge

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