This article mainly focuses on the theory behind Content Based Recommender Systems and explains it using an Example.
This article explains the basics of how to build an ANN model for the classification of MNIST dataset (Step by Step).
This article discusses what is a Naive Bayes classifier and how it works on the data samples with categorical features using an Example.
From this article, you can learn not only the concept and mathematics of PCA, but also how to apply PCA on data samples with an 'Example'.
This article explains the basics of how to build a CNN model for the classification of Fashion MNIST dataset (Step by Step).