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Linkedin Learning

Linkedin Learning

رفتن به کانال در Telegram

Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

نمایش بیشتر

📈 تحلیل کانال تلگرام Linkedin Learning

کانال Linkedin Learning (@linkedin_learning) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 217 335 مشترک است و جایگاه 387 را در دسته آموزش و رتبه 707 را در منطقه الهند دارد.

📊 شاخص‌های مخاطب و پویایی

از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 217 335 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 10 ژوئیه, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 243 و در ۲۴ ساعت گذشته برابر 106 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 6.78% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 1.86% واکنش نسبت به کل مشترکان کسب می‌کند.
  • دسترسی پست‌ها: هر پست به طور میانگین 14 743 بازدید دریافت می‌کند. در اولین روز معمولاً 4 040 بازدید جمع‌آوری می‌شود.
  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 16 است.
  • علایق موضوعی: محتوا بر موضوعات کلیدی مانند author, linkedin, linux, javascript, 040k| تمرکز دارد.

📝 توضیح و سیاست محتوایی

نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
Linkedin Learning Download and watch Linkedin Learning Courses 📈 Pᴀɪᴅ ᴀᴅs : https://telega.io/c/linkedin_learning

به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 11 ژوئیه, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

217 335
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+3557 روز
+24330 روز
آرشیو پست ها
https://www.buymeacoffee.com/linkedin Please consider donating a few dollars to keep this channel alive and up-to-date for yo
https://www.buymeacoffee.com/linkedin Please consider donating a few dollars to keep this channel alive and up-to-date for yourself and others.

📦 Exercice Files

Machine Learning with Scikit-Learn.zip124.73 MB

📁 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

🔰 Machine Learning with Scikit-Learn 🎟2020-10-15 • ⏱43m • 💡Advanced 🗣 Michael Galarnyk Learn to use scikit-learn, the pop
🔰 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

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Migrating to Azure.zip151.35 MB

📁 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

🔰 Migrating to Azure 🎟2021-03-11 • ⏱1h 40m • 💡Intermediate 🗣 James Millar Learn how to design and conduct a successful Az
🔰 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

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📦 Exercice Files

Excel_for_Mac_Essential_Training_Office_365_Microsoft_365.zip580.45 MB

📁 Full description Excel for Mac is a powerful tool, but it can be intimidating for new users who either don't know where to start or don't know how to proceed beyond the most basic tasks. In this course, learn how to master the essential tasks in the Mac version of Excel for Office 365. Excel expert Curt Frye shows how to manage workbooks, work with cells and cell data, and sort, filter, and manage worksheets. Plus, learn how to summarize data using core functions and formulas; format worksheet elements; create bar, column, and line charts; create and filter PivotTables; and share your spreadsheets with others. Udemy Courses - ZTM Courses - Course

🔰 Excel for Mac Essential Training (Office 365/Microsoft 365) 🎟2021-07-13 • ⏱3h 53m • 💡Beginner + Intermediate 🗣 Curt Fry
🔰 Excel for Mac Essential Training (Office 365/Microsoft 365) 🎟2021-07-13 • ⏱3h 53m • 💡Beginner + Intermediate 🗣 Curt Frye Master the essential tasks in the Mac version of Excel for Office 365. Learn how to manage workbooks, use core functions and formulas, create charts, and much more. 📦 Topics: Microsoft Excel LinkedIn Learning

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SOLIDWORKS - 3D Printed Product Enclosure.zip341.41 MB

📁 Full description Product enclosures define the shape and feel of an electronic product. In this course, learn how to design a 3D-printable enclosure for electronic components using SOLIDWORKS, the premier product-design software. Instructor Johno Ellison kicks off the course by reviewing the basics of 3D modeling. Johno steps through how to use key SOLIDWORKS functions such as Extrude, Offset, and Shell to create the enclosure using a printed circuit board (PCB) design as a reference. He then demonstrates how to add a few final details, such as how to use fillets to make your enclosure more visually appealing and customize your model with the Text tool. To wrap up, he details how to export your model for 3D printing and use SOLIDWORKS to create a high-quality rendering of your model. Udemy Courses - ZTM Courses - Course

🔰 SOLIDWORKS: 3D Printed Product Enclosure 🎟2020-05-21 • ⏱1h 51m • 💡Beginner + Intermediate 🗣 Johno Ellison Learn how to
🔰 SOLIDWORKS: 3D Printed Product Enclosure 🎟2020-05-21 • ⏱1h 51m • 💡Beginner + Intermediate 🗣 Johno Ellison Learn how to design a 3D-printable enclosure for electronic components using SOLIDWORKS, the premier product-design software. 📦 Topics: Product Design, SOLIDWORKS, 3D Printing LinkedIn Learning

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Linkedin Learning - آمار و تحلیل کانال تلگرام @linkedin_learning