Crypto Currency Price Predictions using Neural Networks+Machine Learning+Python

Hello everyone,

Summary: I need someone that knows python and has experience with machine learning to use a preset example of code set up for price predictions for Bitcoin and apply this prediction to other crypto currencies (top 100 ranked by market cap on [login to view URL]) I need the prediction to be plotted on a graph adjustable for multiple time frames, weekly, daily, 4-hourly, and 1-hourly.

I found open source code and a guide on how to use machine learning and a neural network to predict crypto currency price trends. There is already one example for the time frame of September to late October predicting Bitcoin, all included in that guide. The language used in this exercise is Python.

Now, I already got all the source code from github, but I am not versed in any code or programming language. So what I need is someone to help me create more predictions not just for bitcoin but also for the top 100 crypto currencies ranked by market cap. Time frame wise I would like to get the predictions set starting from now until end of March 2020. The input data for the learning is found in the guide as well, comes from [login to view URL]

The source code, guide and any other information can be found here:

[login to view URL]

I also uploaded the github code here to this project.

The top #100 crypto currencies I would like to apply to this machine learning model the same way the example shows for Bitcoin can be found here: [login to view URL]

Looking forward to finding someone to help me with this!

I would like to hire a Technical Project Manager for this project.



Skills: Python, Machine Learning (ML), Statistics, Programming, Neural Networks

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