UDEMY_CONNECT_THE_DOTS_FACTOR_ANALYSIS_TUTORIAL-COMPRISED
NFO
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| Connect the Dots: Factor Analysis |
| (c) Loony Corn |
| |
| Publisher ....: Udemy |
| Level ........: All Levels |
| Runtime ......: 96 minutes |
| Language .....: English |
| Release Type .: Retail |
| Release Format: ISO |
| Store Date ...: 2017.02.22 |
| Release Date .: 2017.03.08 |
| ISO Size .....: 85,602,304 |
| ISO Checksum .: 919C52A7 |
| Disk Count ...: 2 * 50MB |
| Disk Name ....: comprised_ucdfa |
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| Link/URL .....: https://v.gd/YDVoR2 |
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| Factor analysis helps to cut through the clutter when you have a lot of |
| correlated variables to explain a single effect. |
| |
| This course will help youáunderstand Factoráanalysis and itÆs link to |
| linear regression. See how Principal Components Analysis is a cookie |
| cutter technique to solve factor extraction and how itárelates |
| toáMachine learning . |
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| What's covered? |
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| Principal Components Analysis |
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| * Understanding principal components |
| * Eigen values and Eigen vectors |
| * Eigenvalueádecomposition |
| * Using principal components for dimensionality reduction and exploratory |
| factor analysis. |
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| Implementing PCA in Excel, R and Python |
| |
| * Apply PCA to explain the returns of a technology stock like Apple |
| * Find the principal components and use them to build a regression model |
| |
| Talk to us! |
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| * Mail us about anything - anything! - and we will always reply :-) |
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\/ Some hardworking groups, and maybe you? _|/
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Files
| Path | Size |
|---|---|
| comprised_ucdfa.nfo | 7,92 KB |
| comprised_ucdfa.r00 | 33,95 MB |
| comprised_ucdfa.rar | 47,68 MB |
| comprised_ucdfa.sfv | 60 B |