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LinkedIn Learning

Logo of telegram channel linkedin_learning — LinkedIn Learning L
Logo of telegram channel linkedin_learning — LinkedIn Learning
Channel address: @linkedin_learning
Categories: Education
Language: English
Subscribers: 153.96K
Description from channel

Download and watch Linkedin Learning Courses
📈 Pᴀɪᴅ ᴀᴅs :
https://telega.io/c/linkedin_learning
🎁 To donate:
https://www.buymeacoffee.com/linkedin

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The latest Messages 65

2021-09-15 14:04:39
Thank you very much Noel Godfrey for your donation.
1.6K views11:04
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2021-09-15 14:03:32
https://www.buymeacoffee.com/linkedin

Please consider donating a few dollars to keep this channel alive and up-to-date for yourself and others.
1.7K views11:03
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2021-09-15 14:00:38 Exercice Files
1.6K views11:00
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2021-09-15 14:00:37 Full description

The ability to apply machine learning algorithms is an important part of a data scientist’s skill set. scikit-learn is a popular open-source Python library that offers user-friendly and efficient versions of common machine learning algorithms. In this course, data scientist Michael Galarnyk explains how to use scikit-learn for supervised and unsupervised machine learning. Michael reviews the benefits of this easy-to-use API and then quickly segues to practical techniques, starting with linear and logistic regression, decision trees, and random forest models. In chapter three, he covers unsupervised learning techniques such as K-means clustering and principal component analysis (PCA). Plus, learn how to create scikit-learn pipelines to make your code cleaner and more resilient to bugs. By the end of the course, you'll be able to understand the strengths and weaknesses of each scikit-learn algorithm and build better, more efficient machine learning models.

This course was created by Madecraft. We are pleased to host this content in our library.


Udemy Courses - ZTM Courses - Course
1.3K views11:00
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2021-09-15 14:00:37
Machine Learning with Scikit-Learn

2020-10-15 • 43m • Advanced
Michael Galarnyk

Learn to use scikit-learn, the popular open-source Python library, to build efficient machine learning models.

Topics: Scikit-Learn, Machine Learning, Python
LinkedIn Learning
1.2K views11:00
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2021-09-15 14:00:31 Full description

A successful migration to Azure requires carefully planning your strategy, organizing your existing resources, identifying what should migrate, becoming familiar with Azure services, and managing the deployment of your plan. In this course, instructor James Millar shows you how to work through each piece of an Azure migration and provides best practice guidance for conducting your own migration to Azure. James begins with an explanation of the Microsoft Cloud Adoption Framework, then goes into how to define and plan for migration. He steps through how to organize your resources, manage access and costs, monitor and report in Azure, and work with Azure Monitor. James explores different migration scenarios and introduces you to Azure Migrate. He walks you through several migrations you may need to complete, then concludes with a variety of ways you can innovate and automate using Azure Cloud Services.

Udemy Courses - ZTM Courses - Course
1.1K views11:00
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2021-09-15 14:00:31
Migrating to Azure

2021-03-11 • 1h 40m • Intermediate
James Millar

Learn how to design and conduct a successful Azure migration.

Topics: Cloud Migration, Cloud Computing, Microsoft Azure
LinkedIn Learning
1.1K views11:00
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