Getting Started with Decision Trees | Data Science Online Course by Udemy

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

An excellent training about Data Science

Getting Started with Decision Trees

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 PythonWhy 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 TreesTerminologies related to decision treesDifferent splitting criterion for decision tree like Gini, chi-square, etc. Implementation of decision tree in Python

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