Kiva Crowdfunding: Data-Driven Insights for Financial Inclusion
• Employed Kiva Crowdfunding data and external sources for regional borrower poverty estimation via machine learning.
• Conducted data cleaning, preprocessing, and feature engineering for enhanced data reliability.
• Achieved 75% accuracy with decision tree and 95.6% with random forest classifiers to predict Kiva loan repayment success.
r-vikrantsagar / machine-learning Goto Github PK
View Code? Open in Web Editor NEWKiva Crowdfunding Project