Reference no: EM132804679 , Length: word count:4000
Used Car Price Prediction using Machine Learning Approaches in Various Algorithms Models (Logistic Regression, Decision Tree, Random Forest, SVM, Naïve Bayes, KNN, K-Means) and deploy the model that Predicts the most accuracy.
Table of contents
Abstract
Chapter 01: Introduction (Why, What and How)
01. Project Aim and Objectives
02. Project rationale (in paragraphs)
03. Project Questions (3 or 4)
04. Chapter Organization (Brief explanation of all chapters)
Chapter 02:
Literature Review (Related Works)
(at least 10 or more research paper references and their percentage of prediction accuracy)
Chapter 03: Methodology (Which are the methodologies will be used in this study)
Chapter 04: Design and Development/ Research Design (Explanation of whole procedure, dataset collection, data cleansing, data preprocessing, converting into binary dataset for models)
Chapter 05: Findings and critical evaluation
Chapter 06: Conclusion and recommendation
References
Appendix: Code
Note: Picture, Screenshot and tables can be used in the body of the research paper, since the whole research paper will be in Harvard Style (citations and referencing)
1. Document File
2. Presentation the whole projects in PPT
4000 words
Attachment:- Guideline of Project.rar
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