tolkien-char-prescription-drug
cryptocurrency-price-prediction
| tolkien-char-prescription-drug | cryptocurrency-price-prediction | |
|---|---|---|
| 1 | 2 | |
| 0 | 555 | |
| - | - | |
| 3.2 | 0.0 | |
| about 3 years ago | over 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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tolkien-char-prescription-drug
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Tolkien character or prescription drug name? Classification using character-level Long Short-Term Memory (LSTM) neural networks
So, here we covered how to work with character embeddings and build a simple LSTM model capable of telling apart Tolkien character names from prescription drug names. Full code, including requirements, dataset, a Jupyter Notebook code version, and a script version, can be found at my GitHub repo.
cryptocurrency-price-prediction
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Help with Jupyter notebook for crypto price prediction
Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.
What are some alternatives?
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