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 ...