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Michail Belias's Projects

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

fractional-polynomials-vs-splines icon fractional-polynomials-vs-splines

In this article we will compare fractional polynomials meta step and splines. We conduct a simulation study and estimate the mean Square error

ggpubr icon ggpubr

A presentation for the ggpubr package

music-genre-recognition icon music-genre-recognition

In this tutorial we are going to develop a deep learning project to automatically classify different musical genres from audio files. We will classify these audio files using their low-level features of frequency and time domain. For this project we need a dataset of audio tracks having similar size and similar frequency range. GTZAN genre classification dataset is the most recommended dataset for the music genre classification project and it was collected for this task only.

scoping-review icon scoping-review

This is a Scoping review for IPD-MA statistical methods that have been used between 2015 - 2020

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