Machine Learning - Dimensionality Reduction

بواسطة: Cognitive Class

Overview

Welcome to this machine learning course on Dimensionality Reduction. Dimensionality Reduction is a category of unsupervised machine learning techniques used to reduce the number of features in a dataset. Dimension reduction can also be used to group similar variables together.In this course, you will learn the theory behind dimension reduction, and get some hands-on practice using Principal Components Analysis (PCA) and Exploratory Factor Analysis (EFA) on survey data.The code used in this course is prepared for you in R.

Syllabus

Basic knowledge of operating systems (UNIX/Linux).

Course Syllabus

Introduction to Dimension Reduction
Principal Component Analysis
Exploratory Factor Analysis

Computer Science / Machine Learning

Machine Learning - Dimensionality Reduction

الذهاب الي الدورة

Machine Learning - Dimensionality Reduction

بواسطة: Cognitive Class

Cognitive Class
مجانية
الإنجليزية
متاح شهادة
متاح في أي وقت
beginner
N/A

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