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sushil-tata's Projects

coursera icon coursera

Data sets and scripts for Coursera Big Data Specialization.

credit-risk-management icon credit-risk-management

A binary classification model is developed to predict the probability of paying back a loan by an applicant. Customer previous loan journey was used to extract useful features using different strategies such as manual and automated feature engineering, and deep learning (CNN, RNN). Various machine learning algorithms such as Boosted algorithms (XGBoost, LightGBM, CatBoost) and Deep Neural Network are used to develop a binary classifier and their performances were compared.

credit_risk_analysis_samplingensemble icon credit_risk_analysis_samplingensemble

Evaluate the performance of multiple machine learning models using sampling and ensemble techniques and making a recommendation on whether they should be used to predict credit risk.

mob icon mob

Monotonic Optimal Binning in Consumer Credit Risk Scorecard Development

skorecard icon skorecard

scikit-learn compatible tools for building credit risk acceptance models

toad icon toad

ESC Team's credit scorecard tools.

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