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Final course project under the JHU data science course. This app uses a predictive text model built from the large corpus data. The model was built using the tidyverse package and n – gram function. The app was built using the Shiny package and it allows user to enter string and app will predict the next word.

Home Page: https://jppaa6-bhautik-mangukiya.shinyapps.io/textprediction_app/

R 100.00%
datamining machinelearning ngram-language-model r shiny-apps textanalysis

word_prediction_app's Introduction

Hi 👋, I'm Bhautik A. Mangukiya

Aspiring Data Scientist

Analytical-minded person with passion for leveraging data to uncover valuable insights and drive impactful decision-making. With solid foundation in Statistical analysis, machine learning, data visualization and data manipulation. Also, a lifelong learner who is always looking for new challenges to grow my skillset.

  • 🌱 I’m currently learning Machine Learning
  • 💬 Talks about: #statistics #datascience #machinelearning #regressionanalysis #artificialintelligence
  • 📫 How to reach me: [email protected]

Connect with me:

Bhautik A. Mangukiya

Languages and Tools:

  • R
    • tidyverse
    • ggplot2
    • dplyr
    • lubridate
    • knitr
    • shiny
    • caret
    • stringr
  • Python
    • pandas
    • numpy
    • matplotlib
    • scikit-learn
    • keras
    • nltk
    • NetworkX
    • re
  • SQL
  • C

sahilmerai

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