Navel propulsion prediction using ML

Keywords: Navel Propulsion,Machine Learning,Prediction,Accuracy

Background

Navel propulsion is a ground breaking concept that seeks to leverage natural energy sources for advancements in space exploration and travel. This abstract presents a comprehensive overview of the theoretical framework and predictive models developed for navel propulsion, with a focus on its potential applications, challenges, and future prospects. Navel propulsion revolves around harnessing the unique properties of the human body's navel region. It has been observed that the navel emits subtle energy, which, if effectively captured, could serve as a potential source of propulsion. This innovative approach has the potential to revolutionize space exploration by enabling longer missions, faster travel, and reducing reliance on traditional propulsion systems. The abstract highlights key aspects of navel propulsion prediction

Aim & Objectives

Aim
The main of this project is optimizing naval propulsion efficiency through data analysis and modelling for enhanced performance and fuel economy. Navel propulsion aims to harness energy from the movement of naval ships for efficient propulsion systems
Objective
Data Cleaning and pre-processing
Data Visualization
Outlier treatment
Building the ML Model

Research Methodology

various regression techniques like Linear regression,SVR,KNNR,DT,RF

Software & Tools

Jupyter, Google Collab

— Preview truncated. The complete document (full chapters, references, diagrams, and appendices) is shared with clients as part of project delivery. —