VN1 Forecasting - Accuracy Challenge Phase 1
Share:
Flieber, Syrup Tech, and SupChains Launch an AI-Driven Supply Chain Forecasting Competition
Use Polars expressions with statsforecast to generate predictions
In this notebook you find an implementation of pre- and postprocessing using Polars instead of Pandas.
The syntax is much better and it makes use of all your hardware resources.
We go through the following steps:
- Importing the required packages
- Import the data and prepare for the model
- Create the model parameters
- Predict, postprocess, and submit
Try other models by yourself.
Keep up to date by participating in our global community of data scientists and AI enthusiasts. We discuss the latest developments in data science competitions, new techniques for solving complex challenges, AI and machine learning models, and much more!
Comments