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A confusion matrix is a N x N matrix that is used to interpret model evaluation performance systematically. Here N is the number of...

It is an optimization algorithm that works iteratively and aims to find the minimum value of a convex function with respect to a set of...

Data exploration and preprocessing are the key aspects of machine learning. With proper exploration and preprocessing we can enhance the...

Descriptive statistics are calculated only for numerical variables. It gives us the detailed results of our dataset which includes mean,...

Machine learning contains a set of algorithms that work on a huge amount of data. Data is fed to these algorithms to train them, and on...

Machine learning is the ability of machines to learn from past experiences and predict future outcomes. Therefore it is an art to teach...