Create a model that predicts whether or not a loan will be default using the historical data.
Problem Statement:
For companies like Lending Club correctly predicting whether or not a loan will be a default is very important. In this project, using the historical data from 2007 to 2015, you have to build a deep learning model to predict the chance of default for future loans. As you will see later this dataset is highly imbalanced and includes a lot of features that make this problem more challenging.
Tasks:
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Feature Transformation
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Exploratory data analysis of different factors of the dataset.
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Additional Feature Engineering
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Modeling