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Machine Learning with Python

Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

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📈 Telegram kanali Machine Learning with Python analitikasi

Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 67 823 obunachidan iborat bo'lib, Taʼlim toifasida 2 419-o'rinni va Hindiston mintaqasida 5 033-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 67 823 obunachiga ega bo‘ldi.

11 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 56 ga, so‘nggi 24 soatda esa 0 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya o‘rtacha 3.96% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.43% ini tashkil etuvchi reaksiyalarni to‘playdi.
  • Post qamrovi: Har bir post o‘rtacha 2 683 marta ko‘riladi; birinchi sutkada odatda 1 650 ta ko‘rish yig‘iladi.
  • Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 6 ta reaksiya keladi.
  • Tematik yo‘nalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Yuqori yangilanish chastotasi (oxirgi ma’lumot 12 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.

67 823
Obunachilar
Ma'lumot yo'q24 soatlar
-127 kunlar
+5630 kunlar
Postlar arxiv
🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligenc
🏳️‍🌈 Python became GitHub's first language! 👨🏻‍💻 In a recent GitHub report, with the expansion of artificial intelligence, Python could finally overtake JavaScript and become the most popular language on GitHub in 2024. This happened after 10 years of JavaScript dominance and it is not very strange. ✔️ Because with the growth of artificial intelligence, developers are turning to Python more than ever, and Python's applications in data science and analytics are increasing every day. You can read the full GitHub report here:👇 🐱 Top programming along GitHub ├ 💰 Report I also introduced the most important Python libraries for working with data and AI here: 👇 🖥 Data Manipulation & Analysis ▶️ pandas ▶️ Apache Spark ▶️ Polars ▶️ DuckDB 📊 Data Visualization ➡️ matplotlib ➡️ plotly ➡️ seaborn 🖥 Machine & Deep Learning ➡️ TensorFlow ➡️ PyTorch ➡️ Keras ➡️ scikit-learn ➡️ XGBoost ➡️ LightGBM ➡️ Prophet 🌫 NLP & Large Language Models ➡️ Hugging Face Transformers ➡️ LangChain ➡️ LlamaIndex 🔑 Tags: #PYTHON #AI #ML #NLP https://t.me/CodeProgrammer

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Confusion matrix (TP, FP, TN, FN), clearly explained 🔑 Tags: #PYTHON #AI #ML https://t.me/CodeProgrammer

Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️
Convert PDF to docx using Python 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

Coursera has launched a collaboration with the MAJOR platform to enable students to self-fund using the MAJOR platform. Students can now access free Coursera scholarships through MAJOR. Don't miss the opportunity: Click here.

A Popular Interview Question: Discriminative vs. Generative Models More Details: https://blog.dailydoseofds.com/p/a-popular-i
A Popular Interview Question: Discriminative vs. Generative Models More Details: https://blog.dailydoseofds.com/p/a-popular-interview-question-discriminative 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

How LLMs work, clearly explained ⭐ 📂 Tags: #DataScience #Python #ML #AI #LLM #BIGDATA #Courses http://t.me/codeprogrammer ⭐️

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Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM

Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM ✅
Pandas Data Cleaning (Guide) 🔑 Tags: #Pandas #DataCleaning #ML https://t.me/DataScienceM

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The Brains Behind LLMs: An Introductory Guide to Transformers and Attention Mechanisms https://www.linkedin.com/pulse/brains-
The Brains Behind LLMs: An Introductory Guide to Transformers and Attention Mechanisms https://www.linkedin.com/pulse/brains-behind-llms-introductory-guide-transformers-attention-sa1me

First telegram AI Friend for your Group Chats It can talk so you don't get bored and it can summarize the conversation of you
First telegram AI Friend for your Group Chats It can talk so you don't get bored and it can summarize the conversation of your friends so you never miss anything @FunnyJinnBot

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