콤포넌트

페이지 정보

profile_image
작성자종규 조회 2회 작성일 2021-04-22 23:37:56 댓글 0

본문

EEVblog #1020 - Is A $7 LCR / Component Tester Any Good?

Is a $7 LCR Meter / Component Tester from Ebay any good?
Dave tests the M328 (LCR-T4) model component tester.

HUGE Forum Thread:
https://www.eevblog.com/forum/testgear/$20-lcr-esr-transistor-checker-project/

Forum summary videos here: https://www.youtube.com/watch?v=on1ZrWNt2Us

This group seems to maintain a version of the firmware:
https://www.mikrocontroller.net/articles/AVR_Transistortester


EEVblog Main Web Site: http://www.eevblog.com
The 2nd EEVblog Channel: http://www.youtube.com/EEVblog2

Support the EEVblog through Patreon!
http://www.patreon.com/eevblog

Donate With Bitcoin \u0026 Other Crypto Currencies!
https://www.eevblog.com/crypto-currency/

EEVblog Amazon Store (Dave gets a cut):
http://astore.amazon.com/eevblogstore-20

T-Shirts: http://teespring.com/stores/eevblog
Likecoin – Coins for Likes: https://likecoin.pro/@eevblog/dil9/hcq3

How To Install Component Speakers in Your Car | Cadence Audio QRS Series

Link to Speakers

https://cadencesound.com/product-tag/kpaceguy/?utm_source=influencers\u0026utm_medium=kpaceguy\u0026utm_campaign=post

StatQuest: Principal Component Analysis (PCA), Step-by-Step

Principal Component Analysis, is one of the most useful data analysis and machine learning methods out there. It can be used to identify patterns in highly complex datasets and it can tell you what variables in your data are the most important. Lastly, it can tell you how accurate your new understanding of the data actually is.

In this video, I go one step at a time through PCA, and the method used to solve it, Singular Value Decomposition. I take it nice and slowly so that the simplicity of the method is revealed and clearly explained.

⭐ NOTE: When I code, I use Kite, a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I love it! https://www.kite.com/get-kite/?utm_medium=referral\u0026utm_source=youtube\u0026utm_campaign=statquest\u0026utm_content=description-only

There is a minor error at 1:47: Points 5 and 6 are not in the right location

If you are interested in doing PCA in R see:


If you are interested in learning more about how to determine the number of principal components, see:


For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

If you'd like to support StatQuest, please consider...
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join

...a cool StatQuest t-shirt or sweatshirt (USA/Europe): https://teespring.com/stores/statquest
(everywhere):
https://www.redbubble.com/people/starmer/works/40421224-statquest-double-bam?asc=u\u0026p=t-shirt

...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/

...or just donating to StatQuest!
https://www.paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer

0:00 Awesome song and introduction
0:30 Conceptual motivation for PCA
3:23 PCA worked out for 2-Dimensional data
5:03 Finding PC1
12:08 Singular vector/value, Eigenvector/value and loading scores defined
12:56 Finding PC2
14:14 Drawing the PCA graph
15:03 Calculating percent variation for each PC and scree plot
16:30 PCA worked out for 3-Dimensional data

#statquest #PCA #ML

... 

#콤포넌트

댓글목록

등록된 댓글이 없습니다.

전체 2,842건 1 페이지
게시물 검색
Copyright © www.dumpershop.co.kr. All rights reserved.  Contact : help@oxmail.xyz