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Regularization: An asset to overfitting models

MACHINE LEARNING ALGORITHMS Regularization An asset to overfitting models By Prakhar Katiyar One of the major aspects of training your machine learning model is avoiding overfitting. In machine learning, regularization is a method to solve over-fitting problem by adding a penalty term with the cost function. When we use regression models to train some data, …

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10 Interesting Machine Learning Projects for ML Enthusiasts

MACHINE LEARNING ALGORITHMS 10 Interesting Machine Learning Projects for ML Enthusiasts By Prakhar Katiyar Artificial Intelligence (AI) today has avalanche of projects and products in the market with machine learning and deep learning being the most important asset. To be able to convert your ideas into practical implementation, you must have a hands-on experience with …

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