Building 3 simple models and using the mean absolute percentage error (MAPE) compare models and visualize prediction prices and accuracy.
- Predict bitcoin price using 3 models from above.
- Aggregate timestamp to 10 min.
- Predict every next 10 min.
- Visualize prediction between 1 SEP 2018 - 30 SEP 2018
- Using Jupyter Notebook (.ipynb)
- Python (Keras) Neural Network should not overfit.
- Visualize with Seaborn
- Code Comment (rough) just tell what you do.
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4 freelancers are bidding on average $132 for this job
Hello, I am interested in working with you on this task. I known deep learning, and can deliver you required set of python scripts or notebook. Thank you.