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 ...

This project involves implementing and evaluating the Decision Tree algorithm for both classification and regression tasks. Decision Trees are a popular, interpretable, and versatile machine learning ...

Abstract: Recent growth in the number of personal vehicles has aggravated the parking issue. Thus smart parking management system is a must in each metropolitan area. We use Decision Tree Regressor ...

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 ...