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In this article, we will know how to solve the image classification problem using a convolutional neural network aka cnn in python.

Moreover, ridge regression and lasso regression are ways of applying regularization. These two regression techniques can be differentiated on the basis of the techniques being employed by them to add a penalty.

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Regularization is a process in machine learning which is applied to control the overfitting of the data, and this overfitting occurs when the training dataset and the testing dataset vary too much. Therefore, regularization is implemented in algorithms such as linear regression to reduce overfitting.