creditrisk-analysis

There are 11 repositories under creditrisk-analysis topic.

  • cdfq384903/MonotonicOptimalBinning

    This project mainly implements the Monotonic Optimal Binning(MOB) algorithm in SAS 9.4. We extend the application of this algorithm which can be applied to numerical and categorical data. In order to avoid the problem of creating too many bins, we optimize the p-value iteratively and provide bins size first binning, monotonicity first binning, and chi merge binning methods for users to discretize data more conveniently.

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  • barkamoljon/PortfolioProjects

    Projects

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  • sahidul-shaikh/credit-analytics-student-loan

    Analysis of the student loans data to determine, if there are any loan characteristics that are predictive of the Early Risk Score.

    Language:Jupyter Notebook2100

  • YourOriginal/AI-Credit-Risk

    Applying various sampling methods and ML to analyze credit risk

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  • a-memme/Credit_Risk_Analysis

    Comparing sampling techniques and classification algorithms to predict credit risk

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  • CAPS-project/CreditRisk-Analysis

    take csv file loan_data_2007_2014,loan_data_2015,loan_data_2007_2014_preprocessed,loan_data_inputs_2015,loan_data_inputs_test,loan_data_inputs_train.csv from banklife line

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  • 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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  • AnvithaChaluvadi/Credit-Risk_Module12Challenge

    I will use various techniques to train and evaluate models with imbalanced classes.

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  • bilalnaqvi7/Credit-Risk-Analysis

    We have performed data analysis and data visualisation on a subset of the LendingClub dataset and then created a logical regression model to assess whether or not a new customer is likely to meet it's debt obligations(pay back the loan).

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  • diercz/Credit_Risk_Analysis

    Utilized several machine learning models to predict credit risk using Python's imbalanced-learn and scikit-learn libraries

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  • nicoserrano/Credit_Risk_Analysis

    Utilized several machine learning models to predict credit risk using Python's imbalanced-learn and scikit-learn libraries

    Language:Jupyter Notebook0101