Getting Started with Decision Trees
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 388 MB | Duration: 1 hours

What you'll learn
Basics of Decision Trees
How to Apply Decision Trees to build Machine Learning models
Building Decision Tree models in Python
How to improve and optimize your decision tree models

Requirements
This course requires you to know basic Machine Learning algorithms like Linear Regression, Logistic Regression
Familiarity with Python would be an advantage
Description
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

Who this course is for:
Beginner Data Science Learners
Python Developers

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