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  1. MLBigDataset MLBigDataset Public

    Project for Machine Learning 1 (classification problem). Prediction of LendingClub loan defaulters. Used classifiers: Logistic Regression, Support Vector Machines (SVM) and Random Forest.

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  2. ml2-big-dataset ml2-big-dataset Public

    Project for Machine Learning 2 (classification problem). Predicting the Success of Bank Telemarketing. Used classifiers: Logistic Regression, Decision Tree, Random Forest, XGBoost, Neural Network.

    Jupyter Notebook

  3. Traditional_scorecard_vs_ML Traditional_scorecard_vs_ML Public

    Comparison of models for credit risk purposes - logistic regression vs random forest. Empirical research.

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