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Hi , I'm Raid KADRI

Software Engineer | Data Scientist

aksia

About me

I am a Master's student in computer science at the University of Sciences and Techniques Houari Boumedien Bab Ezzouar. During my studies, I was able to acquire a solid base in various fields related to computer science (algorithms, databases, object-oriented paradigm, networks) as well as knowledge in mathematics (calculations, linear algebra, statistics and probabilities ). My end-of-studies project with a research team from our university and in collaboration with a laboratory from the University of Michigan at Dearborn was a great opportunity for me to apply what I learned during the course and to to acquire more and more knowledge on advanced subjects. topics in AI, web semantics, web services and machine learning. I am now looking to develop and use my computer skills, especially in machine learning and deep learning applications.

Credit: Raid KADRI

Last Edited on: 23/02/2022

Raid KADRI's Projects

jupyter-book icon jupyter-book

Create beautiful, publication-quality books and documents from computational content.

kpalette icon kpalette

KMeans clustering alogithm that extracts the color palette out of an image.

object-cut icon object-cut

✂️ Cut the main object of an image automagically

opencv-python icon opencv-python

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

pip icon pip

The Python package installer

pyperf icon pyperf

Toolkit to run Python benchmarks

request-for icon request-for

Canonical location of Python Software Foundation Request for Information/Proposal documents.

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

tensorflow-yolov3 icon tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

udacity-disaster-response-pipeline icon udacity-disaster-response-pipeline

This Project is part of Data Science Nanodegree Program by Udacity in collaboration with Figure Eight. The dataset contains pre-labelled tweet and messages from real-life disaster events. The project aim is to build a Natural Language Processing (NLP) model to categorize messages on a real time basis.

wikiscrapper icon wikiscrapper

This code can be used to extract specific text based content from the wikipedia, As of now in beta it can be used to extract specific paragraphs from the given link

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