Foro Wanako1
¿Quieres reaccionar a este mensaje? Regístrate en el foro con unos pocos clics o inicia sesión para continuar.

Foro Wanako1

Programas Gratuitos, Desatendidos y Mucho más!!!
 
PortalPortal  ÍndiceÍndice  BuscarBuscar  Últimas imágenesÚltimas imágenes  ConectarseConectarse  RegistrarseRegistrarse  
Buscar
 
 

Resultados por:
 
Rechercher Búsqueda avanzada
Los posteadores más activos del mes
tano1221
K Nearest Neighbors : Machine  Learning Vote_lcapK Nearest Neighbors : Machine  Learning Voting_barK Nearest Neighbors : Machine  Learning Vote_rcap 
ПΣӨƧӨFƬ
K Nearest Neighbors : Machine  Learning Vote_lcapK Nearest Neighbors : Machine  Learning Voting_barK Nearest Neighbors : Machine  Learning Vote_rcap 
Engh3
K Nearest Neighbors : Machine  Learning Vote_lcapK Nearest Neighbors : Machine  Learning Voting_barK Nearest Neighbors : Machine  Learning Vote_rcap 
ℛeℙ@¢ᴋ€r
K Nearest Neighbors : Machine  Learning Vote_lcapK Nearest Neighbors : Machine  Learning Voting_barK Nearest Neighbors : Machine  Learning Vote_rcap 
大†Shinegumi†大
K Nearest Neighbors : Machine  Learning Vote_lcapK Nearest Neighbors : Machine  Learning Voting_barK Nearest Neighbors : Machine  Learning Vote_rcap 
missyou123
K Nearest Neighbors : Machine  Learning Vote_lcapK Nearest Neighbors : Machine  Learning Voting_barK Nearest Neighbors : Machine  Learning Vote_rcap 
Julio 2024
LunMarMiérJueVieSábDom
1234567
891011121314
15161718192021
22232425262728
293031    
CalendarioCalendario
Últimos temas
» Audified MixChecker ULTRA v1.0
K Nearest Neighbors : Machine  Learning EmptyHoy a las 3:22 am por missyou123

» Irix HDR Pro / Classic Pro 2.3.29 (x64) Multilingual
K Nearest Neighbors : Machine  Learning EmptyAyer a las 10:36 pm por 大†Shinegumi†大

» LightPDF Editor 2.14.7.17 Build 07.01.2024 Multilingual
K Nearest Neighbors : Machine  Learning EmptyAyer a las 10:33 pm por 大†Shinegumi†大

» Stellar Repair for Excel 7.0.0.0 (x64)
K Nearest Neighbors : Machine  Learning EmptyAyer a las 10:32 pm por 大†Shinegumi†大

» PDF Shaper Premium / Ultimate 14.3 Multilingual
K Nearest Neighbors : Machine  Learning EmptyAyer a las 10:30 pm por 大†Shinegumi†大

» EaseUS Partition Master 18.8.0 Build 20240605
K Nearest Neighbors : Machine  Learning EmptyAyer a las 9:15 pm por ПΣӨƧӨFƬ

» illustrate TuneFUSION R2024-06-28 Retail
K Nearest Neighbors : Machine  Learning EmptyAyer a las 9:12 pm por ПΣӨƧӨFƬ

» Xara Designer Pro+ 24.1.0.69698 (x64)
K Nearest Neighbors : Machine  Learning EmptyAyer a las 8:47 pm por ПΣӨƧӨFƬ

» UniFab 2.0.2.6 (x64) Multilingual
K Nearest Neighbors : Machine  Learning EmptyAyer a las 8:44 pm por ПΣӨƧӨFƬ

Sondeo
Visita de Paises
free counters
Free counters

Comparte | 
 

 K Nearest Neighbors : Machine Learning

Ver el tema anterior Ver el tema siguiente Ir abajo 
AutorMensaje
missyou123
Miembro Mayor
Miembro Mayor


Mensajes : 70279
Fecha de inscripción : 20/08/2016

K Nearest Neighbors : Machine  Learning Empty
MensajeTema: K Nearest Neighbors : Machine Learning   K Nearest Neighbors : Machine  Learning EmptyJue Jul 08, 2021 5:58 am

K Nearest Neighbors : Machine  Learning 15a7872ee8c88b6e443cdcd973812e54
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 371 MB | Duration: 1h 8m

What you'll learn
K Nearest Neighbours Algorithm
Machine Learning
Data Science
Requirements
Python programming
Basics of machine learning
Zeal to learn
Not be able to eat 1 Pizza
Description
Hi , and welcome to the K Nearest Neighbours Course

Are you someone who is new to machine learning ?

Are you someone who wants to get started with machine learning ?

Can you sacrifice 1 McDonalds Meal for this amazing course ?

YES?

Then this course is for you -->

Machine learning which is a buzz word has been in the market for quite some time now . Suppose you are a pizza ? delivery guy , who has 3 stores A , B and C , and want to know which store to visit , or which store is closest to you . This is where KNN , comes in . Imagine you are a dot in the middle and A,B,C are stores . So KNN will help you in determining the closest distance .

Let us look at what you'll be requiring throught the course -

Materials Required -

Mac or Windows

At least 4 gb ram

Good coding skills

Python language

Zeal to learn

In this course you'll learn -

What is KNN

Machine learning

Visualising data

Splitting the dataset

How to apply KNN

Cosine Similarity

Confusion matrix

Work with really cool datasets and build real time projects

I believe in the concept of "Learn by doing " and this is emphasised in my class , I myself learn by doing things instead of listening to boring lectures !

You'll be able to use real time datasets after this class and learn all the necessary components required for getting started with machine learning

Will it be challenging ? YES

Will you get difficulty in understanding things ? YES (if you are a beginner)

But that is what my course is for , it will help you make an app in quick time and you will surely learn many things going forward !

Good luck !

Who this course is for:
Students who want to learn the first basic machine learning model
Python programmers who want to get into machine learning

Screenshots

K Nearest Neighbors : Machine  Learning Bd2cfc0f624f027c88235fe0a1000a66

DOWNLOAD:
Citación :

https://rapidgator.net/file/63a16a955c828f701ca7575379e7c36a/eq5ud.K.Nearest.Neighbors..Machine.Learning.rar.html


https://uploadgig.com/file/download/85748632481f6e23/eq5ud.K.Nearest.Neighbors..Machine.Learning.rar


https://nitroflare.com/view/5068D39CCC85E99/eq5ud.K.Nearest.Neighbors..Machine.Learning.rar

Volver arriba Ir abajo
 

K Nearest Neighbors : Machine Learning

Ver el tema anterior Ver el tema siguiente Volver arriba 
Página 1 de 1.

 Temas similares

-
» K-Nearest Neighbors for Classification: Machine Learning
» K-Nearest Neighbors For Regression: Machine Learning
» Machine Learning with R Series K Nearest Neighbor (KNN), Linear Regression, and Text Mining
» Machine Learning Series Machine Learning Applications Test Your Knowledge
» Build Machine Learning Models with Azure Machine Learning Designer

Permisos de este foro:No puedes responder a temas en este foro.
Foro Wanako1 :: Programas o Aplicaciónes :: Ayuda, Tutoriales-