https://github.com/cyprianfusi/predicting-listing-gains-in-the-indian-ipo-market-using-tensorflow

A test accuracy of 75% with just 319 observations is encouraging but not good enough. With more observations and further tweaking, a much higher accuracy could be achieved. Listing gains are the percentage increase in the share price of a company from its IPO issue price on the day of listing
https://github.com/cyprianfusi/predicting-listing-gains-in-the-indian-ipo-market-using-tensorflow

binary-classification deep-learning keras neural-networks python3 regularization tensorflow

Last synced: 12 days ago
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A test accuracy of 75% with just 319 observations is encouraging but not good enough. With more observations and further tweaking, a much higher accuracy could be achieved. Listing gains are the percentage increase in the share price of a company from its IPO issue price on the day of listing

• Host: GitHub
• URL: https://github.com/cyprianfusi/predicting-listing-gains-in-the-indian-ipo-market-using-tensorflow
• Owner: CyprianFusi
• Created: 2024-08-01T07:03:36.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-01T07:23:16.000Z (6 months ago)
• Last Synced: 2024-11-27T22:14:08.905Z (2 months ago)
• Topics: binary-classification, deep-learning, keras, neural-networks, python3, regularization, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 146 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## The Task

An investment firm that is interested in investing in the Initial Public Offerings (IPO) in the Indian market. You have been hired as a data scientist to build a deep learning classification model to determine if there will be listing gains for the IPO.

A test accuracy of just **`75%`** with just **319** observations is encouraging but not good enough. With more observations and further tweaking, a much higher accuracy could be achieved.