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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Mobile Price Prediction using Machine Learning |
| Authors Name: | Jukanti Varun Sagar , Poshala. Siddharth , B. Nikhil Sai , Dr U. Sesadri |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_206352
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| Published Paper Id: | IJNRD2310039 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | http://doi.one/10.1729/Journal.36401 |
| Abstract: | The objective of this project is to develop a categorization model that, in response to a set of requirements, can predict the price range of mobile phones. The dataset for this project includes a range of characteristics, such as battery life, RAM, internal memory, a back camera, a front camera, etc. The research will start by investigating and examining the data to see how each attribute is distributed and how they relate to one another. After that, the data will go through preprocessing to remove any extraneous features, outliers, and missing values. Various classification techniques, such as Logistic Regression, KNN Classification, and Support Vector Machine, will be utilized and compared in order to identify which algorithm performs the best once the data has been divided into training and testing sets |
| Keywords: | categorization model, price range, mobile phones, dataset, battery life, RAM, internal memory, back camera, front camera, data investigation, data preprocessing, extraneous features, outliers, missing values, classification techniques, Logistic Regression, KNN Classification, Support Vector Machine, training and testing sets, performance metrics, F1 score, recall, accuracy, precision, new data, model installation, model testing, real-world performance, budget, desired features. |
| Cite Article: | "Mobile Price Prediction using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.a341-a347, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310039.pdf |
| Downloads: | 000118762 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2310039 Registration ID: 206352 Published In: Volume 8 Issue 10, October-2023 DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.36401 Page No: a341-a347 Country: hyderabad, TELANGANA, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310039 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310039 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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