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Research Article

Car Price Prediction Using Enhanced Technique

B. Venkat Teja1 A. Abhinaya2 B. Pragnya3 C.V.S Subramanyam4 Dr. X.S. Asha Shiny5
1234 B.Tech, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India. 5 Professor, Department of Information Technology, CMR Engineering College (UGC Autonomous), Hyderabad, Telangana, India.

Published Online: September-October 2024

Pages: 05-08

References

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3. Mammadov, H. (2021). Car Price Prediction in the USA by using Liner Regression. International Journal of Economic Behavior
(IJEB), 11(1), 99-108.
4. Khan,(2021) Muhammad Nasir, Hasnain Kashif, and Abdul Rafay. "Performance and optimization of hybrid FSO/RF communication
system in varying weather." Photonic Network Communications vol. 41, no. 1, pp. 47- 56.
5. B. Cui, Z. Ye, H. Zhao, Z. Renqing, L. Meng, and Y. Yang, “Used Car Price Prediction Based on the Iterative Framework of XG
Boost+Light GBM,” Electronics (Basel), vol. 11, no. 18, p. 2932, Sep. 2022, doi: 10.3390/electronics11182932.
6. Das Mou, P. Kumar Saha, S. Akter Nisher and A. Saha, "A Comprehensive Study of Machine Learning algorithms for Predicting
Car Purchase Based on Customers Demands," in 2021 International Conference on Information and Communication Technology
for Sustainable Development (ICICT4SD), Dhaka, (2021).
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Issue 3, DOI: 10.29027/IJIRASE.v4.i3.2020.686-689, September 2020
8. F. Zhang, J. Yang, Y. Guo and H. Gu, "Multi-source Heterogeneous and XBOOST Vehicle Sales Forecasting Model," in SPIOT 2020:
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020
9. Statistics. Vehicle Center Croatia. Centar za vozila Hrvatske—Statistika, 2022. Available online: https://cvh.hr/gradani/tehnickipregled/statistika/ (accessed on 30 May 2022).
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