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Vol.9, No.3, August 2020. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Data Science Methods and Machine Learning Algorithm Implementations for Customized Pratical Usage
Erol Mrzic, Tarik Zaimovic
© 2020 Erol Mrzic, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 9, Issue 3, Pages 1179-1185, ISSN 2217-8309, DOI: 10.18421/TEM93-44, August 2020.
Received: 29 April 2020. Revised: 14 July 2020.
Abstract:
Due to the unprecedented rise of data content over the last decade, an opportunity for databased personalization and analysis has become a norm in the modern world. By implementing Machine Learning algorithms and Data Science methods no industry remained unchanged. This paper applied these methods and algorithms in personal, practical examples in order to see their benefits in our day-today lives. For the purpose of this case study, we analyzed three cases: a personal movie recommender, messages analysis and real estate trends and predictions on the local market. For this research we used global and personal data, and applied a suitable machine learning model. The purpose of this paper is to establish how one individual, and in what measure, with the use of these new technological tools, can ease his decision making process and manage a more tailored lifestyle.
Keywords –Data Science, Machine Learning, personal use, message analysis, movie recommender, price prediction. |
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