In Progress

Preprocessing data in Deep Learning using Python -- 2

The project briefly, is about using Deep Neural Network (DNN) to detect sleep apnea and then classify the severity of this syndrome depending on one of the polysomnography (PSG) signals, which is the SpO2 in order to reduce the cost of diagnosis using the standard method.

The idea is nearly same like the one in the attached file.

Skills: Computer Science, Machine Learning (ML), Python, Software Architecture, Statistics

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About the Employer:
( 22 reviews ) Giza, Egypt

Project ID: #23840956

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SKILLS Languages: python, c++ Tools: colab, Jupyter Notebook, SQL, github, Devops data analysis libraries: like NumPy,scikit learn, Pandas, matplotlib, keras, tensorflow, SciPy, Seaborn, ploty, Bokeh and opencv Stati More

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