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<!DOCTYPE HTML>
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<title>Erwin Lejeune - Data Scientist</title>
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<h1 id="colorlib-logo"><a href="https://guilyx.github.io">Erwin Lejeune</a></h1>
<p><strong>Data Scientist (in progress)</strong></p>
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<h2>Machine Learning and Artificial Intelligence</h2>
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onmouseover="document.querySelector('#colorlib-main > section.colorlib-skills > div > div > div:nth-child(3) > article > ul > li:nth-child(1) > div > a > div:nth-child(1)').style.backgroundColor='#78C2AD'"
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<a href="https://github.com/master-coro/mnist-digit-recognition" style="text-decoration:none;">
<div>
<h4 class="mb-3">Fully Convolutional Network from scratch</h4>
</div>
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class="resume-item d-flex flex-column flex-md-row justify-content-between mb-3">
<div id="divMain">
<div id='left-div' class="resume-content">
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src='images/projects/mnist.gif'>
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<div id='right-div' class='resume-content'>
<div class="subheading mb-0">
<p>Pure numpy implementation of a FCN for the MNIST dataset.</p>
</div>
<div class="mb-0">
<span class='badge badge-secondary'>Python</span>
<span class='badge badge-secondary'>Deep Learning</span>
<span class='badge badge-secondary'>Numpy</span>
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<br>
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<a href="https://github.com/master-coro/cv-object-tracking" style="text-decoration:none;">
<div>
<h4 class="mb-3">Object Tracking with Open CV</h4>
</div>
<div
class="resume-item d-flex flex-column flex-md-row justify-content-between mb-3">
<div id="divMain">
<div id='left-div' class="resume-content">
<img style='float:left; margin:0 10px;' width='300px;' class='img-fluid'
src='images/projects/cv_tracking.gif'>
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<div class="subheading mb-0">
<p>Track an object on your camera after selecting it with your mouse !</p>
</div>
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<span class='badge badge-secondary'>C++</span>
<span class='badge badge-secondary'>OpenCV</span>
<span class='badge badge-secondary'>VisP</span>
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<br>
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<a href="https://github.com/Guilyx/neural-network-logicgates" style="text-decoration:none;">
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<h4 class="mb-3">Logic Gates Neural Network</h4>
</div>
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class="resume-item d-flex flex-column flex-md-row justify-content-between mb-3">
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<p>Neural Network without libraries training how to determine the output several gates.</p>
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<span class='badge badge-secondary'>Python</span>
<span class='badge badge-secondary'>Numpy</span>
<span class='badge badge-secondary'>OOP</span>
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<br>
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<h3 class="colourlib-heading">MOOCS</h3>
<h4><a href="https://www.lynda.com/Data-Science-tutorials/Artificial-Intelligence-Foundations-Machine-Learning"><strong>Artificial Intelligence Foundations: Machine Learning</strong></a></h4>
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<p>Topics include : working with data, machine learning principles, distinguish different types of machine learning, select the best algorithm.</p>
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<h4><a href="https://www.udemy.com/course/machine-learning-intro-for-python-developers/"><strong>Introduction to Data Science in Python</strong></a></h4>
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<p>Classify data automatically, intro to kmeans, decision trees, predict prices with algorithm, group data points.</p>
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