Analysis on Used Car Dataset using Machine Learning Models
Prerna Paliwal1, Charul Singhvi2, Aditya Maheshwari3
1Prerna Paliwal, B.Tech, Department of Computer Science and Engineering, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
2Charul Singhvi, B.Tech, Department of Computer Science and Engineering, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
3Aditya Maheshwari, Techno India NJR Institute of Technology, Udaipur (Rajasthan), India.
Manuscript received on 24 February 2020 | Revised Manuscript received on 10 March 2020 | Manuscript Published on 18 March 2020 | PP: 164-166 | Volume-8 Issue-6S March 2020 | Retrieval Number: F10310386S20/2020©BEIESP | DOI: 10.35940/ijrte.F1031.0386S20
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The research paper focuses on study of used cars of different models based on different fuel types, owner types and years all at different locations and also other factors like Mileage, Engine type, Power consumed and number of seats available. Data is visualized on the basis of Kilometers driven, Fuel Type and Owner Type.
Keywords: Machine Learning, Models, Fule Types, Owner Type, Engine Capacity, Kilometers Driven.
Scope of the Article: Machine Learning