Linear Discriminant Analysis Applications

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Intermediate

This free Linear Discriminant Analysis Applications course will introduce you to the world of data science. Explore the practical application of LDA, key components of machine learning. Enroll in this intermediate course.

What you learn in Linear Discriminant Analysis Applications ?

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Feature Selection
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Linear Discriminant Analysis with Python

About this Course

Learn about the practical applications of Linear Discriminant Analysis (LDA) in this comprehensive course. LDA is a useful tool for reducing the number of attributes in data sets, a key component of Machine Learning. Companies like Google, Uber, and Ola have been utilizing ML techniques to improve their models, and this course will teach you the importance and usage of LDA.

You will thoroughly understand feature selection with LDA, demonstrated through a hands-on example using the Pokémon dataset.

Also, Great Learning has collaborated with renowned universities such as MIT, NUS, and PES University to provide advanced data science and machine learning training. Join this data science course and take your skills to the next level, becoming a professional data scientist or machine learning engineer.

 

Course Outline

Introduction to Feature Selection
Linear Discriminant Analysis Demo

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Linear Discriminant Analysis Applications

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1.0 Hours

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