https://github.com/sudipbishwakarma/msc-dissertation-2021
Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.
https://github.com/sudipbishwakarma/msc-dissertation-2021
arima exploratory-data-analysis garch googlecolab hyperparameter-optimization jupyter-notebook kaggle linearregression lstm nepse optuna scikit-learn stock-price-prediction tensorflow time-series-analysis
Last synced: about 1 month ago
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Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.
- Host: GitHub
- URL: https://github.com/sudipbishwakarma/msc-dissertation-2021
- Owner: SudipBishwakarma
- Created: 2022-04-05T06:33:36.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-30T12:44:31.000Z (almost 2 years ago)
- Last Synced: 2025-03-27T00:54:10.485Z (about 2 months ago)
- Topics: arima, exploratory-data-analysis, garch, googlecolab, hyperparameter-optimization, jupyter-notebook, kaggle, linearregression, lstm, nepse, optuna, scikit-learn, stock-price-prediction, tensorflow, time-series-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 1.92 MB
- Stars: 17
- Watchers: 2
- Forks: 2
- Open Issues: 1