Getting Started with Decision Trees Udemy

Getting Started with Decision Trees by Analytics Vidhya

The Getting Started with Decision Trees course is undoubtedly the most interesting and the most sought after by those seeking to specialize in Development.

Learn the basics of Decision Trees – a popular and powerful machine learning algorithm and implement them using Python

Also, keep in mind that Analytics Vidhya, professor of the course, is an excellent professional with worldwide recognition.

Therefore, if you want to study and learn more, we recommend that you start this udemy course right now.

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Getting Started with Decision Trees Udemy

What is the Getting Started with Decision Trees course about?

Decision Tree algorithm is one of the most powerful algorithms in machine learning and data science. It is very commonly used by data scientists and machine learning engineers to solve business problem and explain that to your customers easily. This course will introduce you to the concept of Decision Trees and teach you how to build one using Python Why learn about Decision Trees? Decision Trees are the most widely and commonly used machine learning algorithms. It can be used for solving both classification as well as regression problems. Decision Trees are easy to interpret and hence have multiple applications around different industries. What would you learn in Getting started with Decision Tree course? Introduction to Decision Trees Terminologies related to decision trees Different splitting criterion for decision tree like Gini, chi-square, etc. Implementation of decision tree in Python

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Course dictated by Analytics Vidhya

Analytics Vidhya is one of the largest Analytics and Data Science community across the globe. We aim to create next generation data science ecosystem by democratising Artificial Intelligence, Machine Learning and Data Science.

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