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 ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

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 ...

Of all the reasons Python is a hit with developers, one of the biggest is its broad and ever-expanding selection of third-party packages. Convenient toolkits for everything from ingesting and ...