Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/matteobettini/stock-market-prediction-2020
This is the the final project of the course: L330 Data Science: principles and practice at the University Of Cambridge. The task for this project is stock market prediction using a diverse set of variables. In particular, given a dataset representing days of trading in the NASDAQ Composite stock market, our aim is to predict the daily movement of the market up or down conditioned on the values of the features in the dataset over the previous N (trading) days.
https://github.com/matteobettini/stock-market-prediction-2020
classification cnn keras lstm mlp neural-networks sklearn stock-market stock-market-prediction tensorflow
Last synced: about 2 months ago
JSON representation
This is the the final project of the course: L330 Data Science: principles and practice at the University Of Cambridge. The task for this project is stock market prediction using a diverse set of variables. In particular, given a dataset representing days of trading in the NASDAQ Composite stock market, our aim is to predict the daily movement of the market up or down conditioned on the values of the features in the dataset over the previous N (trading) days.
- Host: GitHub
- URL: https://github.com/matteobettini/stock-market-prediction-2020
- Owner: matteobettini
- Created: 2020-12-17T10:11:18.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2021-01-19T15:40:24.000Z (almost 4 years ago)
- Last Synced: 2024-03-16T05:01:09.945Z (9 months ago)
- Topics: classification, cnn, keras, lstm, mlp, neural-networks, sklearn, stock-market, stock-market-prediction, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 125 MB
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0