Yassine B. Profile

4,9

(58 αξιολογήσεις)

Τώρα ακολουθείς τον/την

Σφάλμα στην ακολουθία χρήστη.

Αυτός ο χρήστης δεν επιτρέπει σε χρήστες να τον ακολουθούν.

Έχεις ήδη ακολουθήσει αυτό τον χρήστη.

Το πλάνο συνδρομή σου επιτρέπει μόνο 0 ακόλουθους. Κάνε αναβάθμιση εδώ.

Δεν ακολουθείς τον/την

Σφάλμα κατάργησης ακόλουθου χρήστη.

Έχεις προτείνει επιτυχώς τον/την

Σφάλμα πρότασης χρήστη.

Κάτι πήγε στραβά. Παρακαλούμε ανανέωσε τη σελίδα και δοκίμασε ξανά.

Επιτυχώς επαληθευμένο Email.

$30 USD / ώρα

blainville,

canada

$30 USD / ώρα

Τώρα είναι 5:04 μ.μ. εδώ

Έγινε μέλος Ιουλίου 8, 2020

0 Προτάσεις

Yassine B.

@yassineberdad

4,9

(58 αξιολογήσεις)

4,8

87%

$30 USD / ώρα

blainville,

canada

$30 USD / ώρα

98%

Ολοκληρωμένες Δουλειές

78%

Εντός Προϋπολογισμού

82%

Εντός Χρόνου

10%

Βαθμός Επανάληψης Πρόσληψης

Data Engineer

Engineering Degree in Data Science and enrolled in MITx MicroMaster Program My major allows me to intervene in subjects related to: -Artificial Intelligence - Machine learning - Deep Learning -Data Analysis , Data Visualisation , Data Cleaning , Preparing Data -Business Intelligence and BI systems, I am comfortable with developing with: - Python - Java - R - Scala - Android App Developpement. - PHP I am comfortable with mathematical tools: - Statistics and probability; - Algebra - Optimization , Time Series.

Προβολή όλων Python Developers σε Canada

Επικοινώνησε με τον/την Yassine B. για τη δουλειά σου

Συνδέσου για να συζητήσεις τις λεπτομέρειες μέσω τις συνομιλίας.

Πορτφόλιο

The world is full of uncertainty: accidents, storms, unruly financial markets, noisy communications. The world is also full of data. Probabilistic modeling and the related field of statistical inference are the keys to analyzing data and making scientifically sound predictions.

Probabilistic models use the language of mathematics. But instead of relying on the traditional "theorem-proof" format, we develop the material in an intuitive -- but still rigorous and mathematically-precise -- manner. Furthermore, while the applications are multiple and evident, we emphasize the basic concepts and methodologies that are universally applicable.

The course covers all of the basic probability concepts, including:

multiple discrete or continuous random variables, expectations, and conditional distributions
laws of large numbers
the main tools of Bayesian inference methods
an introduction to random processes (Poisson processes and Markov chains)
The contents of this courseare heavily b

Probability - The Science of Uncertainty and Data

In this Certificate , I developped a deep understanding of the principles that underpin statistical inference: estimation, hypothesis testing and prediction. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Fundamentals of Statistics

I learned the methods for harnessing and analyzing data to answer questions of cultural, social, economic, and policy interest, and then assess that knowledge-- Part of the MITx MicroMasters program in Statistics and Data Science.

Data Analysis in Social Science

In this four-course Specialization, i explored exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as i trained it to identify real-world images. i learn how to teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry!

AI is already transforming industries across the world. After finishing this Specialization, i'll be able to apply my new TensorFlow skills to a wide range of problems and projects.

Tensorflow Specialization

Deep Learning Specialization

This is a cerfticate that I earned in the MicroMasters® Program in Statistics and Data Science that i'm studying, it's an in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

ML with Python-From Linear Models to Deep Learning

Probability - The Science of Uncertainty and Data

Fundamentals of Statistics

Data Analysis in Social Science

Tensorflow Specialization

Deep Learning Specialization

ML with Python-From Linear Models to Deep Learning

Αξιολογήσεις

Οι αλλαγές αποθηκεύτηκαν

Προβολή 1 - 5 από 50+ αξιολογήσεις

Φιλτράρισμα αξιολογήσεων ανά:

5,0

$25,00 USD

nested json structure

really good freelancer ..he delivered my work on time

Redolf M.

@Redo0194

•

1 χρόνο πριν

5,0

$25,00 USD

Build me a simple vetting program (PYTHON)

Fast and great service! Recommended

Python

Coding

Joel S.

@joesavage97

•

2 χρόνια πριν

1,0

₹1.500,00 INR

Need a project to be done in Python

Not happy with the job i am sorry...

Python

Django

Abhinav K.

@ramlasharma96506

•

2 χρόνια πριν

5,0

₹1.500,00 INR

python developer

Only one word , wonderful job. Expert in python and delivered in time.

PHP

Python

Rakesh P.

@rpurayil

•

2 χρόνια πριν

5,0

$40,00 USD

Project 34706430 has been deleted

Yassine is with no doubt a great freelancer, respects time and delivers with high Quality. I advice you to work with him with any regrets !

Closed User

@fahdelalaoui2

•

2 χρόνια πριν

Εκπαίδευση

Data Engineer

National Institute of Posts and Telecommunications,

Morocco

2018 - 2021

(3 χρόνια)

Προσόντα

Deeplearning.ai by Coursera

2020

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.

MITx : MIT on edx

2020

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.