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Regularization: An asset to overfitting models

MACHINE LEARNING ALGORITHMS RegularizationAn 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, there …

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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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All Metrices you need to know for becoming a Data Scientist

MACHINE LEARNING ALGORITHMS All Metrics you need to know for becoming a Data Scientist By Prakhar Katiyar When building a model, the foremost priority is to work on performance of the model. Evaluation metrics are thus used for scoring and finding out under which circumstances, the model performs best. It’s the performance of evaluation metrics …

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Decision Tree Pruning Techniques In Python

MACHINE LEARNING ALGORITHMS Decision Tree Pruning Techniques In Python By Prakhar Katiyar Decision tree algorithm is one amongst the foremost versatile algorithms in machine learning which can perform both classification and regression analysis. When coupled with ensemble techniques it performs even better. The algorithm works by dividing the entire dataset into a tree-like structure supported …

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