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Prasun Shrestha's Projects

class-1 icon class-1

Course Overview & Introduction to GitHub & Shiny

loan_default_prediction icon loan_default_prediction

Our objective, therefore, in this project, is to build a classification model that will predict whether a borrower will default or not. We have used Lending Club’s loan data from 2007-2015, which includes pertinent payment and borrower’s information.

ploomber icon ploomber

Write maintainable, production-ready pipelines using Jupyter or your favorite text editor. Develop locally, deploy to the cloud. ☁️

retention_modeling icon retention_modeling

The project here is to build an ensemble of machine learning classifiers that will predict corps members' early exit to strategize early interventions.

snscrape icon snscrape

A social networking service scraper in Python

understanding_poverty_data_across_nations icon understanding_poverty_data_across_nations

A panel data analysis of the effects of different educational attainment levels on poverty alleviation, aggregating the poverty rate dataset from the World Bank and Barro-Lee educational attainment data of 108 nations from 1975-2010. Nepal and Ethiopia's case studies follow to unearth the dimensions of poverty not explained by the econometrics, such as culture.

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