This repository contain all files used for final project TFM on Afi - Escuela de finanzas master degree in Data science & Big Data (2018-2019).
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initial-proposal: Documents of initial idea of the project.
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papers: Free papers used as inspiration for the project.
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tfm-mir:
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app-deep-learning: Code of APP of real time classification genre.
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fma-outputs: Code to build meta-data, create MIR features and train ML algorithms and ensemble for classification, including descriptive analysis.
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planning: Code of planning time for the project in R.
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Python:
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To execute code successfully, load the file tfm-mir/environment_mir.yml in Anaconda to install all needed dependencies for python.
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To re-compile APP data and models, load the file tfm-mir/environment_dl.yml in Anaconda to install all needed dependencies for python, and follow instruction on README.md inside tfm-mir/app-deep-learning folder. A docker version is available to run web app.
R:
Just run .R files.