Machine Learning - Factor Analysis
Course
Online
*Indicative price
Original amount in USD:
$ 30
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Duration
Flexible
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Start date
Different dates available
Factor extraction using PCA in Excel, R, and Python.
This ’Factor Analysis’ online training course will help you understand Factor Analysis and its link to linear regression. See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine Learning. Supplemental Materials included!
Facilities
Location
Start date
Start date
About this course
Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. In this course, you will follow along with expert instructors to learn about topics such as Mean & Variance, Eigen Vectors, Covariance Matrices, and so much more!
Reviews
Subjects
- MS Excel
- Evaluation
- Excel
- Programming
- Python
- Data Modeling
- Factor Analysis
- Basic Statistics
- Covariance Matrices
- Components Analysis
- Computing Correlation
Teachers and trainers (1)
Name Name
Teacher
Course programme
- Lesson I: You, This Course, & Us!
- Lesson I: Factor Analysis & the Link to Regression
- Lesson II: Factor Analysis & PCA
- Lesson I: Mean & Variance
- Lesson II: Covariance & Covariance Matrices
- Lesson III: Covariance vs Correlation
- Lesson I: The Intuition Behind Principal Components
- Lesson II: Finding Principal Components
- Lesson III: Understanding the Results of PCA – Eigen Values
- Lesson IV: Using Eigen Vectors to find Principal Components
- Lesson V: When not to use PCA
- Lesson I: Setting up the data
- Lesson II: Computing Correlation & Covariance Matrices
- Lesson III: PCA using Excel & VBA
- Lesson IV: PCA & Regression
- Lesson I: Setting up the data
- Lesson II: PCA and Regression using Eigen Decomposition
- Lesson III: PCA in R using packages
- Lesson I: PCA & Regression in Python
Additional information
Understand & Analyze Principal Components
Use Principal Components for dimensionality reduction and exploratory factor analysis
Apply PCA to explain the returns of a technology stock like Apple®
Build Regression Models with Principal Components in Excel, R, & Python
LENGTH
1 hr 45 min
Machine Learning - Factor Analysis
*Indicative price
Original amount in USD:
$ 30