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Feature Description
This project aims to forecast crude oil prices using machine learning
Use Case
Data Preprocessing: clean and prepare the data. Feature Engineering: to create features for the models. Model Training: train the models on the prepared data. Model Evaluation: to evaluate the performance of the trained models. Forecasting: to make future predictions.
Benefits
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Priority
High
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