The aim is to build a simple classification model for the given case scenario. The problem statement and the supporting dataset are attached for your reference. After building the classification model we need to predict the feature for the new entry. Classifier: Linear Regression & Logistic Regression; Programming language: Python; IDE: Google Colab.
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The aim is to build a simple classification model for the given case scenario. The problem statement and the supporting dataset are attached for your reference. After building the classification model we need to predict the feature for the new entry. Classifier: Logistic Regression; Programming language: Python; IDE: Google Colab
ugr-gowthamraj/Simple-Loan-Prediction-Model-Using-Python
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The aim is to build a simple classification model for the given case scenario. The problem statement and the supporting dataset are attached for your reference. After building the classification model we need to predict the feature for the new entry. Classifier: Logistic Regression; Programming language: Python; IDE: Google Colab
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