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index.html

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             <h3 class="timeline-title">Introduction au ML & Python</h3>
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               Fondamentaux du Machine Learning, environnement Python, 
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             <h3 class="timeline-title">Pretraitement des Donnees</h3>
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               Nettoyage, normalisation, encodage des variables categorielles 
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             <h3 class="timeline-title">Regression Lineaire & Logistique</h3>
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               Algorithmes de base, equations mathematiques, 
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             <h3 class="timeline-title">Arbres de Decision & Random Forest</h3>
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               Classification avec arbres, bagging, boosting et 
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             <h3 class="timeline-title">Reseaux de Neurones avec Keras</h3>
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               Introduction au Deep Learning, perceptron multicouche, 
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             <h3 class="timeline-title">Series Temporelles & LSTM</h3>
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               Prediction de donnees temporelles, reseaux recurrents 
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             <h3 class="timeline-title">Evaluation & Optimisation</h3>
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               Metriques de performance, cross-validation, 
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             <h3 class="timeline-title">Projet Final & Deploiement</h3>
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               Realisation d'un projet complet et mise en production