Principal component analysis and its application in face recognition

Recently, I was studying Turing textbook by myself< Python Basic course of machine learning ", take some notes in the form of blog on csdn. We may have many purposes in using unsupervised learning for data transformation. The most common purpose is to visualize, compress data, and find a more informative data representation for further ...

Added by jateeq on Thu, 03 Mar 2022 13:47:38 +0200

Certificate super detailed parsing of cer Certificate (serial number, issuer, public key, etc.)

We generally say that certificate is digital certificate: digital certificate refers to a digital authentication that marks the identity information of all communication parties in Internet communication. People can use it to identify each other on the Internet There are generally two kinds: PFX certificate and CER certificate PFX certificate ...

Added by evdawg80 on Wed, 02 Mar 2022 12:28:49 +0200

Machine learning notes - introductory case 4 of exploratory data analysis (EDA)

1, Data set description 1. Data set Tabular Playground Series - Feb 2022 | KagglePractice your ML skills on this approachable dataset!https://www.kaggle.com/c/tabular-playground-series-feb-2022/data For this challenge, you will predict bacterial species based on repeated lossy measurements of DNA fragments. The fragment with length of 10 is ...

Added by Gregadeath on Tue, 01 Mar 2022 06:46:03 +0200

Python data analysis | data visualization based on Pandas

Author: Han Xinzi@ShowMeAITutorial address: http://www.showmeai.tech/tutorials/33Article address: http://www.showmeai.tech/article-detail/150Notice: All Rights Reserved. Please contact the platform and the author for reprint and indicate the sourceIn the previous tutorial, we saw the flexible operation of pandas for data analysis, but at the sa ...

Added by 01hanstu on Fri, 25 Feb 2022 11:55:00 +0200

RNA 7. Gene expression in SCI articles -- principal component analysis (PCA)

In RNA SEQ, principal component analysis (PCA) is one of the most common types of multivariate data analysis. This issue mainly introduces how to analyze using the existing expression difference data. Don't worry, see below. 1. Preface 1. Relevant background In RNA SEQ, principal component analysis (PCA) is one of the most common types of mu ...

Added by shastry on Thu, 24 Feb 2022 10:54:46 +0200

Machine learning practice -- K-nearest neighbor algorithm

K-nearest neighbor algorithm K-nearest neighbor algorithm (KNN) is a basic classification and regression method proposed in 1967. The working principle is: there is a sample data set, also known as the training sample set, and each data in the sample set has a label, that is, we know the corresponding relationship between each data in the samp ...

Added by kazer on Thu, 24 Feb 2022 10:39:15 +0200

Dynamic pointer clock: use pyqt5 to make pointer clock to display real-time time time

[read the full text] At the end of the paper, a complete source code implementation process is attached Want to realize such a function, and then pyqt5 there is no ready-made component to use, so I think it can only be realized by drawing. When it comes to drawing, the turtle framework is undoubtedly the most common choice, but it can also ...

Added by falled on Wed, 23 Feb 2022 16:59:23 +0200

This paper explains the installation and application of Megahit, a macrogenome assembly tool

main points Megahit introduction Basic assembly principle of Megahit Installation and use of Megahit Megahit actual combat hello, hello everyone. Today we bring you a super detailed installation and application tutorial about Megahit, a macro genome assembly tool. We will continue to bring you a series of articles on the analysis o ...

Added by daarius on Tue, 22 Feb 2022 08:18:12 +0200

Viromics data analysis-03 Virsorter2 virus sequence recognition

VirSorter2 uses multiple classifiers and expert guided methods to detect different DNA and RNA virus genomes. It has made major updates to its previous version (virsorter): Combined with more viruses, including dsDNA phage, ssDNA virus, RNA virus, NCLDV (nuclear cell virus), lavaviridae (virophages); Applying machine learning to estimate vir ...

Added by tetecko81sk on Mon, 21 Feb 2022 16:23:16 +0200

[customized project] [M13] [data monitoring + data analysis + large visual screen] - Key Technology Python Flash + pandas + ecarts + Excel

catalogue 1, Project requirements 2, Project architecture 3, Project source code analysis 1. http server: Python Flask framework; http code Interface resolution 2. File monitoring: Python win32con module; Monitoring code Code parsing 3. Data analysis: Python Pandas library; Pandas Series code File example 4. Data visualization: ech ...

Added by miracle_potential on Sun, 20 Feb 2022 18:23:55 +0200