René's URL Explorer Experiment

Title: GitHub - mkesslerct/data_science_Python: Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena · GitHub

Open Graph Title: GitHub - mkesslerct/data_science_Python: Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena

X Title: GitHub - mkesslerct/data_science_Python: Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena

Description: Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena - mkesslerct/data_science_Python

Open Graph Description: Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena - mkesslerct/data_science...

X Description: Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena - mkesslerct/data_science...

Opengraph URL: https://github.com/mkesslerct/data_science_Python

X: @github

direct link

Domain: github.com

route-pattern	/:user_id/:repository
route-controller	files
route-action	disambiguate
fetch-nonce	v2:4c715c68-3b51-e90e-8fab-ca1589a00ec0
current-catalog-service-hash	f3abb0cc802f3d7b95fc8762b94bdcb13bf39634c40c357301c4aa1d67a256fb
request-id	DB72:2BB762:22C416B:3022CC0:6A5497DD
html-safe-nonce	26dd59b6f1de936180541565fe6d7c02cbe217191e0b33209ded8d286248f1ed
visitor-payload	eyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJEQjcyOjJCQjc2MjoyMkM0MTZCOjMwMjJDQzA6NkE1NDk3REQiLCJ2aXNpdG9yX2lkIjoiNTkxMzE5ODEyODk0NTk5MzY5MyIsInJlZ2lvbl9lZGdlIjoiaWFkIiwicmVnaW9uX3JlbmRlciI6ImlhZCJ9
visitor-hmac	a5cbe9ca399c8c542b5137b77b4e7cf14fc31785dbb19479f3df6c45d586236d
hovercard-subject-tag	repository:473579191
github-keyboard-shortcuts	repository,copilot
google-site-verification	Apib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-url	https://collector.github.com/github/collect
analytics-location	//
fb:app_id	1401488693436528
apple-itunes-app	app-id=1477376905, app-argument=https://github.com/mkesslerct/data_science_Python
twitter:image	https://opengraph.githubassets.com/e39858b801d32c1ad07ab1294cd88132cd4209f7676b374b864260e7c5b3c5c1/mkesslerct/data_science_Python
twitter:card	summary_large_image
og:image	https://opengraph.githubassets.com/e39858b801d32c1ad07ab1294cd88132cd4209f7676b374b864260e7c5b3c5c1/mkesslerct/data_science_Python
og:image:alt	Un curso de introducción a Data science con Python, impartido en la Escuela Técnica Superior de Ingeniería de Telecomunicaciones de la Universidad Politécnica de Cartagena - mkesslerct/data_science...
og:image:width	1200
og:image:height	600
og:site_name	GitHub
og:type	object
hostname	github.com
expected-hostname	github.com
None	b9a586c06a05a7a86fc7e3f4dbd03e42f6869085879aa184aa6369456dbd50fb
turbo-cache-control	no-cache
go-import	github.com/mkesslerct/data_science_Python git https://github.com/mkesslerct/data_science_Python.git
octolytics-dimension-user_id	7493573
octolytics-dimension-user_login	mkesslerct
octolytics-dimension-repository_id	473579191
octolytics-dimension-repository_nwo	mkesslerct/data_science_Python
octolytics-dimension-repository_public	true
octolytics-dimension-repository_is_fork	false
octolytics-dimension-repository_network_root_id	473579191
octolytics-dimension-repository_network_root_nwo	mkesslerct/data_science_Python
turbo-body-classes	logged-out env-production page-responsive
disable-turbo	false
browser-stats-url	https://api.github.com/_private/browser/stats
browser-errors-url	https://api.github.com/_private/browser/errors
release	f8cfff6384f62259baea531c7f58bc7040f8dd92
ui-target	full
theme-color	#1e2327
color-scheme	light dark

Links:

Skip to content	https://github.com/mkesslerct/data_science_Python#start-of-content
	https://github.com/
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fmkesslerct%2Fdata_science_Python
GitHub CopilotWrite better code with AI	https://github.com/features/copilot
GitHub Copilot appDirect agents from issue to merge	https://github.com/features/ai/github-app
MCP RegistryNewIntegrate external tools	https://github.com/mcp
ActionsAutomate any workflow	https://github.com/features/actions
CodespacesInstant dev environments	https://github.com/features/codespaces
IssuesPlan and track work	https://github.com/features/issues
Code ReviewManage code changes	https://github.com/features/code-review
GitHub Advanced SecurityFind and fix vulnerabilities	https://github.com/security/advanced-security
Code securitySecure your code as you build	https://github.com/security/advanced-security/code-security
Secret protectionStop leaks before they start	https://github.com/security/advanced-security/secret-protection
Why GitHub	https://github.com/why-github
Documentation	https://docs.github.com
Blog	https://github.blog
Changelog	https://github.blog/changelog
Marketplace	https://github.com/marketplace
View all features	https://github.com/features
Enterprises	https://github.com/enterprise
Small and medium teams	https://github.com/team
Startups	https://github.com/enterprise/startups
Nonprofits	https://github.com/solutions/industry/nonprofits
App Modernization	https://github.com/solutions/use-case/app-modernization
DevSecOps	https://github.com/solutions/use-case/devsecops
DevOps	https://github.com/solutions/use-case/devops
CI/CD	https://github.com/solutions/use-case/ci-cd
View all use cases	https://github.com/solutions/use-case
Healthcare	https://github.com/solutions/industry/healthcare
Financial services	https://github.com/solutions/industry/financial-services
Manufacturing	https://github.com/solutions/industry/manufacturing
Government	https://github.com/solutions/industry/government
View all industries	https://github.com/solutions/industry
View all solutions	https://github.com/solutions
AI	https://github.com/resources/articles?topic=ai
Software Development	https://github.com/resources/articles?topic=software-development
DevOps	https://github.com/resources/articles?topic=devops
Security	https://github.com/resources/articles?topic=security
View all topics	https://github.com/resources/articles
Customer stories	https://github.com/customer-stories
Events & webinars	https://github.com/resources/events
Ebooks & reports	https://github.com/resources/whitepapers
Business insights	https://github.com/solutions/executive-insights
GitHub Skills	https://skills.github.com
Documentation	https://docs.github.com
Customer support	https://support.github.com
Community forum	https://github.com/orgs/community/discussions
Trust center	https://github.com/trust-center
Partners	https://github.com/partners
View all resources	https://github.com/resources
GitHub SponsorsFund open source developers	https://github.com/open-source/sponsors
Security Lab	https://securitylab.github.com
Maintainer Community	https://maintainers.github.com
Accelerator	https://github.com/open-source/accelerator
GitHub Stars	https://stars.github.com
Archive Program	https://archiveprogram.github.com
Topics	https://github.com/topics
Trending	https://github.com/trending
Collections	https://github.com/collections
Enterprise platformAI-powered developer platform	https://github.com/enterprise
GitHub Advanced SecurityEnterprise-grade security features	https://github.com/security/advanced-security
Copilot for BusinessEnterprise-grade AI features	https://github.com/features/copilot/copilot-business
Premium SupportEnterprise-grade 24/7 support	https://github.com/enterprise/premium-support
Pricing	https://github.com/pricing
Search syntax tips	https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
documentation	https://docs.github.com/search-github/github-code-search/understanding-github-code-search-syntax
Sign in	https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fmkesslerct%2Fdata_science_Python
Sign up	https://github.com/signup?ref_cta=Sign+up&ref_loc=header+logged+out&ref_page=%2F%3Cuser-name%3E%2F%3Crepo-name%3E&source=header-repo&source_repo=mkesslerct%2Fdata_science_Python
Reload	https://github.com/mkesslerct/data_science_Python
Reload	https://github.com/mkesslerct/data_science_Python
Reload	https://github.com/mkesslerct/data_science_Python
mkesslerct	https://github.com/mkesslerct
data_science_Python	https://github.com/mkesslerct/data_science_Python
Notifications	https://github.com/login?return_to=%2Fmkesslerct%2Fdata_science_Python
Fork 11	https://github.com/login?return_to=%2Fmkesslerct%2Fdata_science_Python
Star 8	https://github.com/login?return_to=%2Fmkesslerct%2Fdata_science_Python
Code	https://github.com/mkesslerct/data_science_Python
Issues 1	https://github.com/mkesslerct/data_science_Python/issues
Pull requests 0	https://github.com/mkesslerct/data_science_Python/pulls
Actions	https://github.com/mkesslerct/data_science_Python/actions
Projects	https://github.com/mkesslerct/data_science_Python/projects
Security and quality 0	https://github.com/mkesslerct/data_science_Python/security
Insights	https://github.com/mkesslerct/data_science_Python/pulse
Code	https://github.com/mkesslerct/data_science_Python
Issues	https://github.com/mkesslerct/data_science_Python/issues
Pull requests	https://github.com/mkesslerct/data_science_Python/pulls
Actions	https://github.com/mkesslerct/data_science_Python/actions
Projects	https://github.com/mkesslerct/data_science_Python/projects
Security and quality	https://github.com/mkesslerct/data_science_Python/security
Insights	https://github.com/mkesslerct/data_science_Python/pulse
	https://github.com/mkesslerct/data_science_Python
Branches	https://github.com/mkesslerct/data_science_Python/branches
Tags	https://github.com/mkesslerct/data_science_Python/tags
	https://github.com/mkesslerct/data_science_Python/branches
	https://github.com/mkesslerct/data_science_Python/tags
43 Commits	https://github.com/mkesslerct/data_science_Python/commits/main/
	https://github.com/mkesslerct/data_science_Python/commits/main/
data	https://github.com/mkesslerct/data_science_Python/tree/main/data
data	https://github.com/mkesslerct/data_science_Python/tree/main/data
trabajos	https://github.com/mkesslerct/data_science_Python/tree/main/trabajos
trabajos	https://github.com/mkesslerct/data_science_Python/tree/main/trabajos
transparencias	https://github.com/mkesslerct/data_science_Python/tree/main/transparencias
transparencias	https://github.com/mkesslerct/data_science_Python/tree/main/transparencias
utilidades	https://github.com/mkesslerct/data_science_Python/tree/main/utilidades
utilidades	https://github.com/mkesslerct/data_science_Python/tree/main/utilidades
README.md	https://github.com/mkesslerct/data_science_Python/blob/main/README.md
README.md	https://github.com/mkesslerct/data_science_Python/blob/main/README.md
README	https://github.com/mkesslerct/data_science_Python
	https://github.com/mkesslerct/data_science_Python#introducción-a-data-science-con-python
	https://github.com/mkesslerct/data_science_Python#presentación
Centro de Producción de Contenidos Digitales	http://cpcd.upct.es/
utilidades	https://github.com/mkesslerct/data_science_Python/blob/main/utilidades/readme.md
CC BY-SA 4.0	https://creativecommons.org/licenses/by-sa/4.0/deed.es
	https://github.com/mkesslerct/data_science_Python#contenidos
Preliminares: preparación Python para el curso	https://github.com/mkesslerct/data_science_Python#preliminares-instalaci%C3%B3n-de-python-y-visual-studio-code-para-el-curso
Introducción a Python	https://github.com/mkesslerct/data_science_Python#Introducci%C3%B3n-a-Python
Introducción a Pandas	https://github.com/mkesslerct/data_science_Python#Introducci%C3%B3n-a-Pandas
Combinar dataframes	https://github.com/mkesslerct/data_science_Python#combinar-dataframes
Aplicar transformaciones y calcular resúmenes por grupos	https://github.com/mkesslerct/data_science_Python#aplicar-transformaciones-y-calcular-res%C3%BAmenes-por-grupos
Visualizar datos con gráficas en Matplotlib	https://github.com/mkesslerct/data_science_Python#visualizar-datos-con-gr%C3%A1ficas-en-matplotlib
Regresión	https://github.com/mkesslerct/data_science_Python#regresi%C3%B3n
Aprendizaje máquina con Scikit-learn	https://github.com/mkesslerct/data_science_Python#aprendizaje-m%C3%A1quina-con-scikit-learn
Clasificación con regresión logística	https://github.com/mkesslerct/data_science_Python#clasificaci%C3%B3n-con-regresi%C3%B3n-log%C3%ADstica
Regularización de la función coste	https://github.com/mkesslerct/data_science_Python#regularizaci%C3%B3n-de-la-funci%C3%B3n-coste
Reducción de dimensión: análisis en componentes principales	https://github.com/mkesslerct/data_science_Python#reducci%C3%B3n-de-dimensi%C3%B3n-an%C3%A1lisis-en-componentes-principales
	https://github.com/mkesslerct/data_science_Python#datos-necesarios-para-los-trabajos-y-algunos-ejemplos
Carpeta data	https://github.com/mkesslerct/data_science_Python/blob/main/data
	https://github.com/mkesslerct/data_science_Python#preliminares-instalación-de-python-y-visual-studio-code-para-el-curso
Unidad con instrucciones sobre preparación de Python, Anaconda y Visual Studio Code	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/962daf11bddf469a94882d702aa95b17/
ids_environment.yml	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/00-preliminares_python_vscode/ids_environment.yml
	https://github.com/mkesslerct/data_science_Python#introducción-a-python
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje
Unidad de introducción a Python, primeros pasos	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/4a6d472072f8484891005cad326a8f34/
Funciones y métodos en Python	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/8e24b1604bbd4599b06111374c6ad2d0/
Más sobre listas y diccionarios	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/7ac3caf462e34991beab4eb50393f0ea/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades
Introducción a Python, primeros pasos & funciones y métodos	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/03-introduccion_python/01-python_introduccion.pdf
Más sobre listas y dicccionarios	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/03-introduccion_python/02-mas_sobre_listas_diccionarios.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar
Ejercicios para practicar	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/03-introduccion_python/01-ejercicios.pdf
	https://github.com/mkesslerct/data_science_Python#introducción-a-pandas
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-1
Unidad de introducción a Pandas	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/8b009111011e41cdbfee3c94485b1069/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-1
Introducción a Pandas	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/04-introduccion_pandas/01-introduccion_pandas.pdf
Seleccionar filas y/o columnas en dataframes	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/04-introduccion_pandas/02-acceso_columnas_filas.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-1
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/04-introduccion_pandas/01-introduccion_pandas_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/04-introduccion_pandas/01-introduccion_pandas_output.md
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/04-introduccion_pandas/02-seleccionar_filas_columnas_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/04-introduccion_pandas/02-seleccionar_filas_columnas_output.md
	https://github.com/mkesslerct/data_science_Python#combinar-dataframes
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-2
Combinar dataframes: concat y merge	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/390f81126dc746358ba53f61a65e8015/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-2
Concatenar dataframes	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/05-concat_merge/01-concat-slides_handout.pdf
Combinar dataframes usando merge	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/05-concat_merge/02-merge-slides_handout.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-2
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/05-concat_merge/01-concat_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/05-concat_merge/01-concat_output.md
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/05-concat_merge/02-merge_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/05-concat_merge/02-merge_output.md
	https://github.com/mkesslerct/data_science_Python#aplicar-transformaciones-y-calcular-resúmenes-por-grupos
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-3
Aplicar funciones a dataframes o series en Pandas	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/c907f028659e46b08f3f8ffde9eebaf2/
Trabajar con datos agrupados en Pandas	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/7d77217add624843bc2f1b086519904e/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-3
Aplicar funciones	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/06-apply/01-apply-slides_handout.pdf
Definir datos agrupados y calcular resúmenes	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/07-groupby/01-groupby-slides_handout.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-3
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/07-groupby/01-trabajo_consumo_vivienda_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/07-groupby/01-trabajo_consumo_vivienda_output.md
	https://github.com/mkesslerct/data_science_Python#visualizar-datos-con-gráficas-en-matplotlib
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-4
Visualizar datos con Matplotlib	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/74ae28a23bcd48b0bad8c444e700758b/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-4
Visualizar datos con Matplotlib	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/08-plotting/01-visualizacion_matplotlib_handout.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-4
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/08-plotting/02-visualizacion_consumo_vivienda_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/08-plotting/02-visualizacion_consumo_vivienda_output.md
	https://github.com/mkesslerct/data_science_Python#regresión
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-5
Regresión y algoritmo del gradiente	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/558ab527c4464ab58897e5537bb46876/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-5
Regresión y algoritmo del gradiente	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/09-regresion/01-regresion.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-5
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/09-regresion/01-regresion_lineal_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/09-regresion/01-regresion_lineal_output.md
	https://github.com/mkesslerct/data_science_Python#aprendizaje-máquina-con-scikit-learn
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-6
Aprendizaje máquina con Scikit-learn	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/4e1d9b0c53df4a9f964719e18afe8789/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-6
Aprendizaje máquina con Scikit-learn	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/10-scikit-learn/01-scikit-learn_handout.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-6
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/10-scikit-learn/01-sklearn_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/10-scikit-learn/01-sklearn_output.md
	https://github.com/mkesslerct/data_science_Python#clasificación-con-regresión-logística
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-7
Clasificación	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/733ff1c8182e4211b10b5e4f1d6b8e75/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-7
Clasificación	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/11-clasificacion/01-clasificacion.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-7
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/11-clasificacion/01-clasificacion_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/11-clasificacion/01-clasificacion_output.md
	https://github.com/mkesslerct/data_science_Python#regularización-de-la-función-coste
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-8
Regularización para evitar sobreajuste	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/55a2356a72b44ef2817f10e6ad963cc0/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-8
Regularización	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/12-regularizacion/01-regularizacion.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-8
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/12-regularizacion/01-regularizacion_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/12-regularizacion/01-regularizacion_output.md
	https://github.com/mkesslerct/data_science_Python#reducción-de-dimensión-análisis-en-componentes-principales
	https://github.com/mkesslerct/data_science_Python#unidades-de-aprendizaje-9
Análisis en componentes principales	https://opencontent.upct.es/3240eb3933be43129adf7ccb23f1fcda/e7e0dd89ba1c43e1907257216e734957/
	https://github.com/mkesslerct/data_science_Python#transparencias-asociadas-a-las-unidades-9
Análisis en componentes principales	https://github.com/mkesslerct/data_science_Python/blob/main/transparencias/13-acp/01-acp.pdf
	https://github.com/mkesslerct/data_science_Python#para-practicar-9
Bloc de notas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/13-acp/01-acp_handout.ipynb
Salidas esperadas	https://github.com/mkesslerct/data_science_Python/blob/main/trabajos/13-acp/01-acp_output.md
python	https://github.com/topics/python
data-science	https://github.com/topics/data-science
python3	https://github.com/topics/python3
Readme	https://github.com/mkesslerct/data_science_Python#readme-ov-file
Please reload this page	https://github.com/mkesslerct/data_science_Python
Activity	https://github.com/mkesslerct/data_science_Python/activity
11 forks	https://github.com/mkesslerct/data_science_Python/forks
Report repository	https://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fmkesslerct%2Fdata_science_Python&report=mkesslerct+%28user%29
Releases	https://github.com/mkesslerct/data_science_Python/releases
Packages 0	https://github.com/users/mkesslerct/packages?repo_name=data_science_Python
Please reload this page	https://github.com/mkesslerct/data_science_Python
Contributors	https://github.com/mkesslerct/data_science_Python/graphs/contributors
Please reload this page	https://github.com/mkesslerct/data_science_Python
HTML 94.0%	https://github.com/mkesslerct/data_science_Python/search?l=html
Jupyter Notebook 5.3%	https://github.com/mkesslerct/data_science_Python/search?l=jupyter-notebook
	https://github.com
Terms	https://docs.github.com/site-policy/github-terms/github-terms-of-service
Privacy	https://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Security	https://github.com/security
Status	https://www.githubstatus.com/
Community	https://github.community/
Docs	https://docs.github.com/
Contact	https://support.github.com?tags=dotcom-footer

Viewport: width=device-width

URLs of crawlers that visited me.