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Used python to build a model using Random Forest Regressor to predict traffic patterns. This allowed us to apply ML concepts we have learned from class to help predict traffic flow. We can interpret these results to offer insights about the data and validate if RF would be a viable forecasting method for this data.
Used python to build a model using Random Forest Regressor to predict traffic patterns. This allowed us to apply ML concepts we have learned from class to help predict traffic flow. We can interpret these results to offer insights about the data and validate if RF would be a viable forecasting method for this data.