What is Machine Learning all about

Assignment Help Python Programming

Reference no: EM132806437

Question: Used Car Price Prediction using Machine Learning Approaches in Various Algorithms Models (Logistic Regression, Decision Tree, Random Forest, ANN, SVM, Naïve Bayes, KNN, K-Means) and deploy the model in a front-end software for users that Predicts the most accuracy.

Table of contents

Abstract

Chapter 01: Introduction (Why, What and How, a brief Introduction)
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)
(1) What is Machine Learning all about?
(2) At least 15 research paper references and their percentage of prediction accuracy should be explained.

Chapter 03: Methodology (Which are the methodologies will be used in this study)
(1) Collecting data (from where and how, source and ethical consideration)
(2) Feature engineering
(3) Exploratory data analysis
(4) Numerical, categorical etc.
(5) Principal Component Analysis (PCA)
(6) How to handle missing data, cleaning data, shaping data etc
(7) How to train and test data
(8) Brief all the Title algorithms (with Mathematic how it functions)
(9) In fact, in this chapter dataset collection to result everything should be explained.

Chapter 04: Findings and critical evaluation
Performance, Parameters (accuracy, precision, F1 Score, correlation etc.
Graphs, picture, can be used in the body of the assignment
Chapter 05: 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 are must)
1. Document File
2. A Presentation of the whole projects in PPT format (20 minutes)
The assignment will be 6000 words (almost 60% will be Literature review and Methodology)

Note: The best Predicted accuracy model will be deployed in front-end software and will be uploaded in the cloud/ website for clients or users to use it.

Attachment:- Guideline of Project.rar

Reference no: EM132806437

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