TrilaksonoBS/Credit-Risk-Management-by-Using-Machine-Learning

In this project, we wanna create Credit Risk Management by using Machine Learning, so we dig into the data. what we do for the next steps are Data Preparation, EDA(Exploratory Data Analysis), Data Visualization, Data Preprocessing (Handling Outliers, Missing Value, Feature Encoding, Standardization, and Normalization), Creating Machine Learning Model with few algorithms, Evaluation Model, looking for Feature Importance, gain insight, and create a recommendation for Credit Risk Management

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