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GitHub / 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)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MMBazel%2FPredicting-Kickstarter-Campaign-Outcomes-Using-NLP-Feature-Engineering

Stars: 16
Forks: 3
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 5.7 MB
Dependencies parsed at: Pending

Created at: almost 6 years ago
Updated at: about 1 year ago
Pushed at: over 4 years ago
Last synced at: 27 days ago

Topics: classification, data-science, feature-engineering, kickstarter-campaigns, nlp, nlp-feature-engineering, nlp-machine-learning, springboard, springboard-career-track, springboard-data-science, springboard-projects, sqlite-database, sqlite3

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