GitHub - Ali199012/Disease-Classification-TFIDF-vs-OneHot: Streamlit app comparing TF-IDF vs encoding strategies for disease classification using KNN, with configurable distance metrics and cross-validated performance metrics.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
ds.ipynb		ds.ipynb
dsApp.py		dsApp.py
uploaded_file.csv		uploaded_file.csv

About

Streamlit app comparing TF-IDF vs encoding strategies for disease classification using KNN, with configurable distance metrics and cross-validated performance metrics.

python nlp machine-learning tfidf streamlit skcit-learn

Activity

0 stars

1 watching

0 forks

Report repository

Releases

No releases published

Packages

Contributors

Languages

Jupyter Notebook 87.7%
Python 12.3%

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

About

Uh oh!

Releases

Packages

Uh oh!

Contributors

Uh oh!

Languages

Folders and files

Latest commit

History

About

Topics

Uh oh!

Stars

Watchers

Forks

Releases

Packages 0

Uh oh!

Contributors

Uh oh!

Languages

Packages