Rami A. Profile

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$10 USD / orë

abudhabi,

egypt

$10 USD / orë

Aktualisht është 9:53 p.d. këtu

U bashkua nëntor 18, 2019

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Rami A.

@engrami1996

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(0 përshtypje)

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$10 USD / orë

abudhabi,

egypt

$10 USD / orë

Asnjë

Punët e Plotësuara

Asnjë

Brenda Buxhetit

Asnjë

Në Kohë

Asnjë

Shpeshtësia e Rimarrjes në Punë

Data Analyst

Im a self-confident, energetic and creative person with the ability to work individually. Im always looking to improve in my career and build a successful career path. Im passionate about dealing and working with various kinds of data, So data analysis for me is more than just a job.

Shikoni të gjitha C Programmers në Egypt

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Portofol

9036162

Dataset Investigation

Python Course

Course Description:

In this course, I studied the foundational concept of neural networks and deep learning.

By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.

Neural Network and Deep learning Certificate

9036162

Dataset Investigation

Python Course

Neural Network and Deep learning Certificate

Vlerësimet

Ndryshimet u ruajtën

Asnjë vlerësim këtu!

Përvoja

MPC

mar 2020 - E tashme

Responsible for service, repair, and maintenance of medical equipment . Diagnose and repair mechanical, electrical, and electro-mechanical failure in equipment Perform installation, service, and preventative maintenance activities at clients' places Schedule and organize application training for clients, staff, and colleagues.

Arsimi

Mechatronics Engineering Bachelor Degree

Arab Academy for Science, Technology and Maritime Transport,

Egypt

2014 - 2019

(5 years)

Kualifikimet

Coursera

2021

Course Description: In this course, I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply