prediction bitcoin price using RNN, LSTM and ARIMA

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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Skills: Machine Learning, Mathematics, Python, Statistics

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About the Employer:
( 0 reviews ) Bangkok, Thailand

Project ID: #18480606

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Having more than 6 years in machine learning I believe that I can implement these algorithms for you. Please ping me to discuss details.

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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.

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My team are most talented and well experienced developers in machine learning and developing software. if you hired us, you'll definitely receive outstanding result before the project deadline. We will do our More

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