Autoregressor: simple and robust time series model selection
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Updated
Feb 15, 2024 - Jupyter Notebook
Autoregressor: simple and robust time series model selection
This project aims to predict the success or failure of products based on various features and attributes. By utilizing machine learning algorithms, I strive to accurately classify products as either top performers or underperformers in the market.
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