A Comprehensive Tutorial on Classification using Decision Trees

Decision trees happen to be one of the simplest and the easiest classification models to explain and, as many argue, closely resemble the human decision making. This blog post has been developed to help you revisit and master the fundamentals of decision trees-based classification models.

Read more

Unfolding Naïve Bayes from Scratch: Part 1

In part 1 of this two-part series, we will dive deep into the theory of Naïve Bayes and the steps in building a model. For those of you who are enthusiastic to learn this common algorithm and want to go more in-depth with a step by step example, this is the blog for you!

Read more

Machine Learning As A Service Tutorial: Deploy the Models!

The idea is that you can use Microsoft Azure ML or Amazon ML to build a machine learning model, and then use our demo to input values for the prediction. Each ML program provides an endpoint that you can use to access the model and run predictions. Have you noticed that we have two demos ..

Read more