https://github.com/dmarks84/coursework_project_nlp-with-nltk

Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.
https://github.com/dmarks84/coursework_project_nlp-with-nltk

data-modeling databases dataframes eda nlp numpy pandas python reporting statistics text-mining visualization

Last synced: 11 days ago
JSON representation

Project for University of Michigan Applied Data Science Specialization -- Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.

• Host: GitHub
• URL: https://github.com/dmarks84/coursework_project_nlp-with-nltk
• Owner: dmarks84
• License: bsd-3-clause
• Created: 2024-01-24T19:25:25.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-01-24T19:48:00.000Z (11 months ago)
• Last Synced: 2024-12-23T13:17:13.177Z (11 days ago)
• Topics: data-modeling, databases, dataframes, eda, nlp, numpy, pandas, python, reporting, statistics, text-mining, visualization
• Language: Jupyter Notebook
• Homepage:
• Size: 708 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
## Project(Project_NLP-With-NLTK)

### Part of the Coursera series: University of Michigan Applied Data Science

    

## Summary

Utilized NLTK library to process natural language, and then built several spelling recommenders for a list of misspelled words.

## Skills (Developed & Applied)

Programming, Python, Databases, Statistics, Numpy, Pandas, Dataframes, Data Modeling, EDA, Data Visualization, Data Reporting, NLP