Car Popularity Prediction: A Machine Learning Approach

被引：0
|
作者：
Mamgain, Sunakshi [1 ]
Kumar, Srikant [1 ]
Nayak, Kabita Manjari [1 ]
Vipsita, Swati [1 ]
机构：
[1] IIIT Bhubaneswar, Dept Comp Sci, Bhubaneeswar, India
来源：
2018 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION (ICCUBEA) | 2018年
关键词：
Machine Learning; Regression; Classification; Supervised Machine Learning; Logistic Regression; KNN; Random Forest; CLASSIFICATION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Today is a world of technology with a foreseen future of a machine reacting and thinking same as human. In this process of emerging Artificial Intelligence, Machine Learning, Knowledge Engineering, Deep Learning plays an essential role. In this paper, the problem is identified as regression or classification problem and here we have solved a real world problem of popularity prediction of a car company using machine learning approaches.
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页数：5
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