Data Science and Machine Learning (Part 04): Predicting Current Stock Market Crash
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, 06-12-2022 at 02:03 AM (474 Views)
----------------A stock market crash is a sharp and quick drop in the total value of the market with prices typically declining more than 10% within a few days, Famous examples of major stock market crashes are the black Monday in 1987 and the real estate bubble in 2008. A crash is usually attributable to the burst of a price bubble and is due to a massive sell-off that occurs when a majority of the stock market participants try to sell off their assets at the same time.
- Data Science and Machine Learning (Part 01): Linear Regression
- Data Science and Machine Learning (Part 02): Logistic Regression
- Data Science and Machine Learning part 03: Matrix Regressions
- Data Science and Machine Learning (Part 04): Predicting Current Stock Market Crash
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