Vaibhavs10/ml-with-text
[Tutorial] Demystifying Natural Language Processing with Python
This project helps data scientists and machine learning practitioners transform raw, unstructured text into a format usable by machine learning models. It takes text-based datasets, like SMS messages or Yelp reviews, and outputs trained predictive models capable of classifying or analyzing that text. The ideal user is a data scientist, machine learning engineer, or analyst comfortable with Python.
No commits in the last 6 months.
Use this if you want to build and evaluate predictive models from text data, understanding the full workflow from feature extraction to model evaluation using scikit-learn.
Not ideal if you are new to Python, machine learning basics, or lack experience with pandas and scikit-learn.
Stars
23
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 07, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Vaibhavs10/ml-with-text"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
estnltk/estnltk
Open source tools for Estonian natural language processing
hb20007/hands-on-nltk-tutorial
The hands-on NLTK tutorial for NLP in Python
milaan9/Python_Natural_Language_Processing
This repository consists of a complete guide on natural language processing (NLP) in Python...
practical-nlp/practical-nlp-code
Official Repository for Code associated with 'Practical Natural Language Processing' book by...
DataForScience/NLP
Natural Language Processing For Everyone