GitHub / vignesh4005 / Crowdfunding_Campaign_Success_Prediction
This project aims to predict the success of crowdfunding campaigns using machine learning models: Ensemble Learning, Naive Bayes, and Support Vector Machine (SVM).
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PURL: pkg:github/vignesh4005/Crowdfunding_Campaign_Success_Prediction
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 370 KB
Dependencies parsed at: Pending
Created at: 9 months ago
Updated at: 9 months ago
Pushed at: 9 months ago
Last synced at: 9 months ago
Topics: adaboostclassifier, bagging-classifier, boosting-algorithms, ensemble-learning, exploratory-data-analysis, gradient-boosting-classifier, naive-bayes-classifier, random-forest-classifier, statistics, support-vector-machines, xgboost-classifier