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An r-shiny application that allows you to train and export a classification model based on Naive Bayesian

R 99.24% CSS 0.76%
naive-bayes naive-bayes-classifier r r-shiny r-shiny-app

naive-bayes-r-shiny's Introduction

Hi there 👋🏽, I'm Moïse Berthé

About me

  • 👨🏽‍🎓 Student: Currently studying Data Science at Université Lumière Lyon2.
  • 🔭 Current Projects: Developing a Natural Language Processing (NLP) project focused on web scraping to retrieve and analyze online job offers. 🌐💬
  • 🌱 Learning: Enhancing my skills in MLOps, NLP techniques, data extraction and analysis, and neural network architectures.
  • 📫 Contact: Reach me at [email protected].
  • ⚡ Fun Fact: There are approximately 400,000 bytes of data for every grain of sand on earth..

My social networks

moise-berthe


Languages and Tools

python fastapi flask Dash Streamlit r r-shiny java php laravel Power BI Tableau

html5 css3 javascript typescript nodejs reactjs azure docker Hadoop

oracle mongodb mysql postgresql Supabase git

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