@inproceedings{a613208569a14598a6553edbf56f9bfc,
title = "Machine learning models for stock price prediction",
abstract = "In 1950, there was a well-known investment data which was most generally used informational sets in the entirety of the applied econometrics in the United States called 'Grunfeld investment data'. The full dataset points out errors and inconsistencies in several currently available versions. The main goal of this paper is to use Machine Learning and Statistical models to clean up data and to predict the stock price using the Grunfeld investment data.",
keywords = "Grunfeld investment data, Machine learning, Regression",
author = "Nassif, \{Ali Bou\} and Maha Alaaeddin and Sahib, \{Amna Akram\}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Information Technology Trends, ITT 2020 ; Conference date: 25-11-2020 Through 26-11-2020",
year = "2020",
month = nov,
day = "25",
doi = "10.1109/ITT51279.2020.9320871",
language = "English",
series = "2020 7th International Conference on Information Technology Trends, ITT 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "67--71",
booktitle = "2020 7th International Conference on Information Technology Trends, ITT 2020",
address = "United States",
}