/Standard-Bank-Tech-Impact-Challenge-Xente-credit-scoring-challenge

The objective of this challenge is to create a machine learning model to predict which individuals are most likely to default on their loans, based on their loan repayment behaviour and ecommerce transaction activity.

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Standard-Bank-Tech-Impact-Challenge-Xente-credit-scoring-challenge

The objective of this challenge is to create a machine learning model to predict which individuals are most likely to default on their loans, based on their loan repayment behaviour and ecommerce transaction activity.

This wining solution consist of two models: Random Forest and Lightgbm , The final submission is an average of the two models . The link to the competiton on zindi https://zindi.africa/competitions/sbtic-xente-credit-scoring-challenge/data