Synthetic Data Generation

Drawing New Data from KDE in scikit-learn

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What will you learn? In this tutorial, you will master the art of drawing new data by harnessing the power of Kernel Density Estimation (KDE) in scikit-learn. By understanding how to generate new data points based on an existing dataset’s distribution, you can enhance your machine learning projects with augmented or synthetic datasets. Introduction to … Read more

Generate Synthetic Data for Majority and Minority Classes

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What will you learn? In this tutorial, you will master the art of creating synthetic data for both majority and minority classes in Python. By understanding techniques like oversampling and SMOTE, you can effectively balance imbalanced datasets. Introduction to the Problem and Solution Dealing with imbalanced datasets requires special attention to ensure fair representation of … Read more