GoConqr has a new look! Let us know what you think.

Mind map

Used Car Price Prediction using Data Analytics

Firahm Afandi FYP English

Map content

Used Car Price Prediction using Data Analytics

  1. Techniques

    • Sentiment Analysis
      • Data preprocessing
        • Unstructured data
          • Data review
            • Tokenization
            • Stemming
            • Stop words
          • Numeric data
            • Data cleaning
            • Removing missing value
            • Remove outlier
        • Structured data
          • Training
          • Testing
      • Scrapping data
        • Platform
          • Mudah.com
          • Youtube
          • Carbase
        • Techniques
          • Audio analysis
          • Text Analysis
      • Approach
        • Lexicon based
          • Classification polarity
            • Positive
            • Negative
    • Machine learning
      • Techniques
        • Multiple linear Regression
        • Naive Bayes
  2. Domain

    • Types of car
      • Continental car
        • BMW
        • Mercedes Benz
      • Local Car
        • Perodua
        • Proton
      • Other Asian car
        • Honda
        • Toyota
        • Hyundai
    • Variables of car
      • Car brand
      • Model
      • Year Manufactured
      • Engine capacity
      • Variant (Series)
    • Review
      • Expert Review
        • Customer Rating
          • Performance
          • Ride & Handling
          • Comfort
          • Safety
          • Space
          • Value
        • Review descriptions
      • Owner Review
        • Label
          • Recommended
          • Not recommended
        • Review descriptions
          • Good
          • Bad
          • Suggestion improvement

Information

Description
FYP Mind Map on Used Car Price Prediction using Data Analytics, created by Firahm Afandi on 17/11/2019.
Created by
Firahm Afandi · Nov 2019
Updated
Dec 14, 2019
Views
0
History
  • Created by Firahm Afandi · Oct 9, 2019
  • Copied by Firahm Afandi · Nov 17, 2019
Rating

Feedback

What is it about?

What do you think of the new look?

How do you like it?