The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

Naive Bayes classification is a machine learning technique that can be used to predict the class of an item based on two or more categorical predictor variables. For example, you might want to predict ...

An introduction to deep learning and the associated Python libraries like Numpy, Matplotlib, Keras and Tensorflow. We will learn how to build and use deep learning models to classify images such as ...