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📈 Аналітичний огляд Telegram-каналу Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses

Канал Free Online Courses with Certificate | Udacity Free Courses | Eduonix | IP Cybersecurity | Coursera | Premium Certified Courses (@udacityfreecourse) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 46 398 підписників, посідаючи 3 897 місце в категорії Освіта та 7 745 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 46 398 підписників.

За останніми даними від 30 жовтня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -215, а за останні 24 години на -3, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 2.12%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.58% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 985 переглядів. Протягом першої доби публікація в середньому набирає 267 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 3.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як |--, learning, javascript, analytic, certification.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“👉Udacity, Microsoft, Edx, Google and Eduonix courses for free 👉Get premium Free courses from top websites 👉We also provide discount coupon codes for premium Udacity courses to help you as much as we can For promotions: @love_data”

Завдяки високій частоті оновлень (останні дані отримано 31 жовтня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

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Web Development Roadmap with FREE resources 👇 1. HTML and CSS https://youtu.be/mU6anWqZJcc 2. CSS https://css-tricks.com 3. Git & GitHub https://udemy.com/course/git-started-with-github/ 4. Tailwind CSS https://scrimba.com/learn/tailwind 5. JavaScript https://javascript30.com 6. ReactJS https://scrimba.com/learn/learnreact 7. NodeJS https://nodejsera.com/30-days-of-node.html 8. Database: ✨MySQL https://mysql.com ✨MongoDB https://mongodb.com Other FREE RESOURCES https://t.me/free4unow_backup/554 Don't forget to build projects at each stage ENJOY LEARNING 👍👍

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git remote add origin https://github.com/user/repo.git
git push -u origin main
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git add .
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git push
5️⃣ Clone a Repository
git clone https://github.com/user/repo.git` 👯
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git pull origin main` 🔄
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An important collection of the 15 best machine learning cheat sheets. 1- Supervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf 2- Unsupervised Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf 3- Deep Learning https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf 4- Machine Learning Tips and Tricks https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf 5- Probabilities and Statistics https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf 6- Comprehensive Stanford Master Cheat Sheet https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf 7- Linear Algebra and Calculus https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf 8- Data Science Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf 9- Keras Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf 10- Deep Learning with Keras Cheat Sheet https://github.com/rstudio/cheatsheets/raw/master/keras.pdf 11- Visual Guide to Neural Network Infrastructures http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png 12- Skicit-Learn Python Cheat Sheet https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf 13- Scikit-learn Cheat Sheet: Choosing the Right Estimator https://scikit-learn.org/stable/tutorial/machine_learning_map/ 14- Tensorflow Cheat Sheet https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf 15- Machine Learning Test Cheat Sheet https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/ ENJOY LEARNING 👍👍

𝗜𝗕𝗠 𝗙𝗥𝗘𝗘 𝗧𝗘𝗖𝗛 𝗖𝗢𝗨𝗥𝗦𝗘𝗦 𝟮𝟬𝟮𝟲! 🎓 Explore IBM Cognitive Class and build in-demand tech skills without spen
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