This project aims to predict taxi fares in New York City using machine learning models, primarily Random Forest Regressor, and compares its performance with Multilinear Regression and Decision Tree ...
A comprehensive exploration of Decision Tree algorithms using scikit-learn, featuring classification on the Iris dataset and regression on the Diabetes dataset, with hyperparameter tuning and ...
Abstract: The objective of the research study is to predict and analyze the flight ticket fare using machine learning algorithm Random Forest Regressor in comparison with Decision tree Regression ...
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