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stock-market's Introduction

Stock Market

L'objectif de ce projet est d'apprendre à prédire l'évolution du CAC 40 sur la journée suivante.

Description du projet

Le but de projet est de :

  • Télécharger les données du CAC 40
  • Nettoyer la data et la rendre utilisable pour du machine learning.
  • Faire des prédictions en essayant de deviner l'évolution.
  • Tenter d'améliorer le modèle via Feature Engineering et Optuna.

Ressources utilisées

-> yfinance : permet d'utiliser l'API de Yahoo Finances et d'avoir les données

-> Pandas : Utilisation de Dataframe pour le cleanage et le calcul de moyennes mobiles

-> RandomForestClassifier pour la prédiction

-> Plotly.express pour la visualisation

-> Optuna pour l'optimisations des hyperparamètres

stock-market's People

Contributors

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Watchers

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