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AI and Machine Learning

AI and Machine Learning

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Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

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📈 Telegram kanali AI and Machine Learning analitikasi

AI and Machine Learning (@machine_learning_courses) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 94 073 obunachidan iborat bo'lib, Taʼlim toifasida 1 556-o'rinni va Hindiston mintaqasida 3 013-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 94 073 obunachiga ega bo‘ldi.

25 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 981 ga, so‘nggi 24 soatda esa 47 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 6.77% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.34% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 6 370 marta ko‘riladi; birinchi sutkada odatda 2 203 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent learning, llm, linkedin, linux, udemy kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Data Science, Data Analysis, Machine Learning, Artificial Intelligence, and Python with Tensorflow, Pandas & more! Buy ads: https://telega.io/c/machine_learning_courses

Yuqori yangilanish chastotasi (oxirgi ma’lumot 26 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

94 073
Obunachilar
+4724 soatlar
+1877 kunlar
+98130 kunlar
Postlar arxiv
🔗 Quickly Deploy Machine Learning Model
🔗 Quickly Deploy Machine Learning Model

🔗 Roadmap to master Machine Learning
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🔗 Roadmap to master Machine Learning

🔗 Roadmap to master Machine Learning
+4
🔗 Roadmap to master Machine Learning

AI Agents for eCom Summit goes Live from March 11 - 10:00 AM Pacific Time. It's a 4-day free online event with 40+ Top Speake
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AI Agents for eCom Summit goes Live from March 11 - 10:00 AM Pacific Time. It's a 4-day free online event with 40+ Top Speakers sharing their knowledge and expertise on AI and E-Commerce. Register here: https://www.ecomagents.com And join our Channel for Livestream: https://tglink.io/5077ca5fe41f 

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📱Artificial intelligence 📱Python for Data Science and Machine Learning Essential Training Part 2

📂 Full description If you are a working professional who wants to use business data to make improved decisions through predictive analytics, this course can help you. Lillian Pierson—engineer, CEO, and the head of product at Data-Mania—guides you through a robust combination of basic data science coding experience, demonstrations, challenges, solutions, and exercises that you can quickly apply in customized data analyses and analytics projects. Learn best practices for data cleaning, data visualization, data analysis, and Python programming. By the end of the course, you will be able to use Python to: Clean, reshape, reformat, and describe data Generate data visualizations for data presentation and visual exploratory analysis Identify and remove outliers Perform simple data analysis Source, scape, and analyze data from the internet Generate collaborative analytics assets using Plot.ly

🔅 Python for Data Science and Machine Learning Essential Training Part 2 🌐 Author: Lillian Pierson, P.E. 🔰 Level: Intermed
🔅 Python for Data Science and Machine Learning Essential Training Part 2 🌐 Author: Lillian Pierson, P.E. 🔰 Level: IntermediateDuration: 5h 16m
🌀 In the second half of this two-part course, explore the essentials of using Python for data science and machine learning.
📗 Topics: Data Science, Machine Learning, Python 📤 Join Artificial intelligence for more courses

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