Engineering Degree in Data Science and enrolled in MITx MicroMaster Program
My major allows me to intervene in subjects related to:
- Machine learning
- Deep Learning
-Data Analysis , Data Visualisation , Data Cleaning , Preparing Data
-Business Intelligence and BI systems,
I am comfortable with developing with:
- Android App Developpement.
I am comfortable with mathematical tools:
- Statistics and probability;
- Optimization , Time Series.
National Institute of Posts and Telecommunications, Morocco 2018 - 2021
Deep Learning Specialisation
Deeplearning.ai by Coursera
In five courses, I learned the foundations of Deep Learning, understanded how to build neural networks, and how to lead successful machine learning projects. I learned also about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. I worked on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
Machine Learning with Python-From Linear Models to Deep Learning
MITx : MIT on edx
Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.
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Preferred Freelancer Program SLA 1 94% US English 1 80%