This is my github porfolio. It contains a few of my favourite projects.
This main page contains the main projects.
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Tool to show data in different ways.
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Features:
- Support matrices
- Support characters
- Support several data formats
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Built using Python
For this example project I built a music visualisation.
I was able to get a chunk of samples from a spectrum estimator using the audio file as input and then I transformed this in visualisation according to the sampling rate.
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Features:
- Support for mp3 files
- It allows 3 different plotting methods
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Built in MATLAB
This example shows how to use Independent Component Analysis (ICA) on a video analysis to obtain pulse signal and other measures.
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Features:
- Support for mpeg files
- Fast ICA method (reference here)
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Built in MATLAB
This tool analyses and models cryptocurrencies time-series dynamics in order to understand potential interactions in time.
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Features:
- Support one or multiple cryptocurrencies
- Several options available in order to map values or ranges
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Built in Python - Tensorflow
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Pending:
- Add sentiment time series and analysis
This GUI tool allows to perform a demo of the spike sorting algorithm (based on Principal Component Analysis, PCA) on in-vitro retina neural data.
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Features:
- Support neural data from different sources
- Allows to select the number of potential neurons to seek
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Built in MATLAB
This porfolio was developed based on an example porfolio you can find here:
- "How to Make A Data Science Portfolio Website with Github Pages" (Ken Jee)
- https://www.youtube.com/watch?v=1aXk2RViq3c
- https://github.com/PlayingNumbers/Ken_Portfolio