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.

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Unfolding Naive Bayes from Scratch: Part 2

If you had to get started with one machine learning algorithm, Naive Bayes would be a good choice, as it is one of the most common machine learning algorithms that can do a fairly good job at most classification tasks.

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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!

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