Download Udemy - K-Means for Cluster Analysis and Unsupervised Learning in R torrent - GloDLS
Login
Gebruikersnaam:
wachtwoord:
_REMEMBERME_:
[aanmelden]
[Recover Account]
Bladeren Torrents
Latest Forums Topics
  • Service Seller Socks5 Good latest post by vnsocks5

  • KARAOKE ENTHUSIAST CHAT latest post by Ninieblhz

  • Service Socks5 Cheap - Check Socks5 latest post by Shopsocks

  • Site Donations latest post by philsbbs

  • mp3 new releases 2023 week 46 [GloDLS] latest post by phatty69er

  • JAKMAN Application latest post by Prom3th3uS

  • Latest sunflys and zoom latest post by krazydave_thedj

  • New member latest post by BJtheDJ

  • Sunflys + latest zoom latest post by BJtheDJ

  • MP3 NEW RELEASES 2024 WEEK 40 - [GloDLS] latest post by Hippy

    • Friends
    Angie Torrents
    Friendly Site

    Get Into Way
    Friendly site

    Free Courses Online
    Friendly site

    KaranPC
    Friendly site

    OneHack
    Friendly site

    IGGGames
    Friendly site

    Torrent Details Voor "Udemy - K-Means for Cluster Analysis and Unsupervised Learning in R"

    Udemy - K-Means for Cluster Analysis and Unsupervised Learning in R

    To download this torrent, you need a BitTorrent client: Vuze or BTGuard
    Download deze torrent
    Download using Magnet Link

    Gezondheid:
    Seeds: 2
    Leechers: 0
    Completed: 2 
    Laatst gecontroleerd: 10-11-2021 22:30:07

    Uploader Reputatie punten : 7860




    Thanks By

    Write a Review for the Uploader:   15   Say Thanks with one good review:
    Share on Facebook


    Details
    Naam:Udemy - K-Means for Cluster Analysis and Unsupervised Learning in R
    _DESCRIPTION_:

    Description

    Learn why and where K-Means is a powerful tool

    Clustering is a very important part of machine learning. Especially unsupervised machine learning is a rising topic in the whole field of artificial intelligence. If we want to learn about cluster analysis, there is no better method to start with, than the k-means algorithm.

    Unlike other courses, it offers NOT ONLY the guided demonstrations of the R-scripts but also covers theoretical background that will allow you to FULLY UNDERSTAND & APPLY UNSUPERVISED MACHINE LEARNING  (K-means) in R.

    Get a good intuition of the algorithm

    The K-Means algorithm is explained in detail. We will first cover the principle mechanics without any mathematical formulas, just by visually observing data points and clustering behavior. After that, the mathematical background of the method is explained in detail.

    Learn how to implement the algorithm in R

    First we will learn how to implement K-Means from scratch. This is important to get a really good grip on the functioning of the algorithm.

    You will of course also learn how to implement the algorithm really quickly by using only one line of code as well as we will learn different types of K-Means algorithms and how to visualize the results of K-means.

    The examples will be based on real data that you could get a real feeling of the data science tasks.

    Learn where you should pay attention

    K-Means is a powerful tool but it definitely has its drawbacks! You will learn where you have to be careful and when you should use the algorithm, and also when it is a bad idea to use the algorithm. We will learn how to perform model’s evaluation for K-Means in R.

    NO PRIOR R OR STATISTICS/MACHINE LEARNING / R KNOWLEDGE REQUIRED

    You’ll start by absorbing the most valuable R Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in R.

    This course is different from other training resources. Each lecture seeks to enhance your data science and clustering skills (K-means, weighted-K means, Heat mapping, etc) in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You’ll be able to start analyzing different streams of data for your projects and gain appreciation from your future employers with your improved machine learning skills and knowledge of the cutting edge data science methods.

    The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning, and R in their field.

    One important part of the course is the practical exercises. You will be given some precise instructions and datasets to run Machine Learning algorithms using the R and R tools.

    JOIN MY COURSE NOW!
    Who this course is for:

       The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.
       Everyone who would like to learn Data Science Applications In The R & R Studio Environment
       Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data

    Requirements

       Availabiliy computer and internet
       R-programming skills is NOT a requirement, but would be a plus

    Last Updated 11/2020
    YouTube Video:
    Categorie:Tutorials
    Taal:English  English
    Totale grootte:1.05 GB
    Info Hash:940C379C512B25E4C824061B2CA017CAD7CEF4EA
    Toegevoegd door:tutsnode Verified UploaderVIP
    Datum toegevoegd:2020-11-26 21:32:00
    _TORSTATUS_:Torrent Verified


    Ratings:Not Yet Rated (Log in to rate it)


    Tracker:
    udp://inferno.demonoid.pw:3391/announce

    Deze Torrent heeft ook back-trackers
    URLZaaimachinesLeechersCompleted
    udp://inferno.demonoid.pw:3391/announce000
    udp://tracker.openbittorrent.com:80/announce000
    udp://tracker.opentrackr.org:1337/announce202
    udp://torrent.gresille.org:80/announce000
    udp://glotorrents.pw:6969/announce000
    udp://tracker.leechers-paradise.org:6969/announce000
    udp://tracker.pirateparty.gr:6969/announce000
    udp://tracker.coppersurfer.tk:6969/announce000
    udp://ipv4.tracker.harry.lu:80/announce000
    udp://9.rarbg.to:2710/announce000
    udp://shadowshq.yi.org:6969/announce000
    udp://tracker.zer0day.to:1337/announce000


    File List: 





    Comments
    Geen reacties nog geplaatst