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https://github.com/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)
https://github.com/mmbazel/predicting-kickstarter-campaign-outcomes-using-nlp-feature-engineering
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
Last synced: about 6 hours ago
JSON representation
Turning raw kickstarter text data => Campaign predictions using SpaCy, Scikit-learn, SQLAlchemy, SQLite3 & XGBoost Classifier (feat eng = Bag-of-Words, Tfdvectorizer)
- Host: GitHub
- URL: https://github.com/mmbazel/predicting-kickstarter-campaign-outcomes-using-nlp-feature-engineering
- Owner: MMBazel
- Created: 2019-07-02T23:25:41.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-02-26T00:15:54.000Z (over 3 years ago)
- Last Synced: 2023-03-10T07:16:47.525Z (over 1 year 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
- Language: Jupyter Notebook
- Homepage:
- Size: 5.7 MB
- Stars: 14
- Watchers: 0
- Forks: 3
- Open Issues: 0