MMBazel/Predicting-Kickstarter-Campaign-Outcomes-Using-NLP-Feature-Engineering

Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)

20
/ 100
Experimental

No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 1 / 25
Community 13 / 25

How are scores calculated?

Stars

16

Forks

3

Language

Jupyter Notebook

License

Last pushed

Feb 26, 2021

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/MMBazel/Predicting-Kickstarter-Campaign-Outcomes-Using-NLP-Feature-Engineering"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.