Utilisation des méthodes de Deep Learning avec Python pour la prédiction boursière.

Offered By
In this Guided Project, you will:

Charger des données de Yahoo Finance.

Construire et entraîner un réseau de neurones récurrent (RNN), en particulier LSTM.

Déployer une application web basée sur le Deep Learning à travers le Framework Python Streamlit.

1 heure
No download needed
Split-screen video
Desktop only

#### ***A la fin de ce projet, vous serez en mesure de :*** * Créer une application Web connectée à ***Yahoo Finance*** pour prédire la tendance de plusieurs actions boursières. * Déployer une Application Web de Deep Learning à l’aide de ***Streamlit***. * Implémenter un réseau de neurones récurrents (***LSTM***).

Skills you will develop

  • Python Programming

  • Streamlit

  • Yahoo Finance

  • prediction

  • Long Short-Term Memory (ISTM)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Vue d’ensemble du projet et démo

  2. Chargement des données (Yahoo Finance)

  3. Préparation et visualisation des données

  4. Division des données

  5. Comprendre les réseaux de neurones récurrents LSTM

  6. Facultatif : Tâche d'entraînement

  7. Implémentation du modèle et étude de la performance

  8. Déploiement de l’application Web (Python Streamlit)

  9. Facultatif : Tâche de synthèse

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

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Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.