Вже доступно! Дослідження Telegram за 2025 — головні інсайти року 
Machine Learning with Python
Відкрити в Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Показати більше📈 Аналітичний огляд Telegram-каналу Machine Learning with Python
Канал Machine Learning with Python (@codeprogrammer) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 67 813 підписників, посідаючи 2 427 місце в категорії Освіта та 5 028 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 67 813 підписників.
За останніми даними від 13 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 60, а за останні 24 години на -3, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 4.31%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.69% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 2 926 переглядів. Протягом першої доби публікація в середньому набирає 1 148 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 6.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як insidead, learning, degree, evaluation, algorithm.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Завдяки високій частоті оновлень (останні дані отримано 14 червня, 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.
67 813
Підписники
-324 години
-77 днів
+6030 день
Архів дописів
📣 Are you looking for a channel to download software and engineering programs in the form of Telegram files and all free, paid and customized versions ❓
🥹 We present to you our new channel related to programs and applications 🙊
https://t.me/ProgramsStore
6 of the best cloud notebooks for data science
⏺ Cloud notebooks are analytical tools that can be accessed only through an Internet browser without the need to install special software, and provide the possibility of running codes, analyzing data, and creating reports in an online environment.
🔃 In the following, I have provided you with 6 of the best cloud notebooks for data science projects , each of which has its own applications and capabilities in data analysis, programming, and data science project management.
┌ 🏷 6 Free Cloud Notebooks for DS
├ ✅ Deepnote
├ ✅ Kaggle
├ ✅ Hex
├ ✅ Colab
├ ✅ Naas
└ ✅ Datalore
🎁 205+ free data science and ML courses
📚 from the Udacity platform
👨🏻💻 Udacity platform It has a wide range of machine learning and data science courses, some of these courses are free and some are paid.
☑️ In this PDF file, I collected all the free Udacity courses on machine learning, data science, etc. and put them inside the PDF with an active link. Just click on the link of each course. So easily!👌🏼
🗂 +205 Udacity FREE Courses
Deep Learning
NLP
AI
Python
ML
Data Mining
Tensorflow
Keras
👇👇👇👇👇
@Machine_learn
🟣 The largest data visualization tools with Python
🔥 The most powerful data visualization ecosystem
👨🏻💻 The PyViz ecosystem, with nearly 150 different libraries in 12 categories , is one of the most powerful tools to facilitate learning and using data visualization in Python. This ecosystem includes from the main visualizations to the graphic and location libraries and the creation of the dashboard.
✅ To access these 150 top and unique Python libraries, you can use the following link:👇🏼
┌ 🏷 Data visualization in Python
└ 🚀 PyViz
The subscription price for our new paid service, “Course Wallet,” is now only $12, with a lifetime subscription
Our bot will accept your membership immediately once the payment process is completed
📣 Feeling hungry? 🍕 Want food for the low? 🍔 Tap in to the telegram to receive up to 60% off DoorDash and Uber Eats! 🤤🔥
Join Telegram for the next step!
🎫: 60% off DoorDash and Uber Eats! 🧡💙
⭐ For USA customers only 🇺🇸
⭐ Click "start" button and verify to enter the chat server!
#ad
🔈 list of top 50 data science cheat sheets
🔘 From the day I started summarizing data science topics on LinkedIn, I decided to summarize each topic in a few pages. I finally came up with a list of 50 cheat sheets from various areas of data science. This list covers pretty much everything a data person might need, from how to plot with Matplotlib to using ChatGPT.
⏺ Python: link
⏺ Pandas library: link
⏺ NumPy library: link
⏺ Matplotlib library: link
⏺ seaborn library: link
⏺ scikit-learn library: link
⏺ TensorFlow library: link
⏺ Keras library: link
⏺ PyTorch framework: link
⏺ SQL language: link
👀 GeoPandas project: link
👀 Git version control system: link
👀 AWS cloud platform: link
✅ Azure cloud platform: link
✅ Google Cloud Platform cloud computing: link
✅ Docker platform: link
✅ Kubernetes platform: link
✅ The Linux Command Line training: link
✅ Jupyter notebook: link
✅️ Data preparation: link
✅️ Data Visualization: Link
✅️ Statistical inference: link
✅️ possibility: link
✅️ Linear Algebra: Link
✅️ Differential calculation: link
✅ Time series: link
✅ Natural language processing: link
✅ Neural network: link
✅ Deep Learning: Link
✅ Machine learning: link
✅ Apache Spark Framework: Link
✅ Apache Hadoop framework: link
✅ Big O Notation tool: link
✅ Regular Expression training: link
✅ Unix / Linux Permissions training: link
✅ Python String Formatting tutorial: link
✅ Flask framework: link
✅ Django framework: link
✅ plotly library: link
✅ PostgreSQL database: link
✅ MySQL database: link
✅ MongoDB database: link
✅ TensorFlow Probability library: link
✅ Chatbot GPT-3: link
✅ Training GPT-3 API Reference: link
✅ SciPy library: link
✅ ChatGPT chatbot: link
✅ Training Colors in Data Viz: link
✅ Geospatial DS in Python training: link
🪄 https://t.me/codeprogrammer 🖼
😡More likes 😡 => more posts
🏆 $750 BTC Giveaways!
📣 Feeling hungry? 🍕 Want food for the low? 🍔 Tap in to the telegram to receive up to 60% off DoorDash and Uber Eats! 🤤🔥
Join Telegram for the next step!
🎫: 60% off DoorDash and Uber Eats! 🧡💙
⭐ For USA customers 🇺🇸
⭐ Click "start" button and verify to enter the chat server!
#ad
Looking for a Remote Job? 💻🌍
AI/ML/Data Science ➡️ https://t.me/remote_ai_jobs
🐍 Python ➡️ https://t.me/remote_python_jobs
🚀 DevOPS ➡️ https://t.me/remote_devops_jobs
🐞 QA ➡️ https://t.me/remote_qa_jobs
☕️Java ➡️ https://t.me/remote_java_jobs
🐘 PHP ➡️ https://t.me/remote_php_jobs
♦️ Ruby ➡️ https://t.me/remote_ruby_job
🧑💻GO Lang ➡️ https://t.me/remote_go_jobs
💼 FrondEnd ➡️ https://t.me/remote_frontend_jobs
📱Mobile ➡️ https://t.me/remote_mobile_jobs
🖥 25 free data science courses, Gen AI, ML, ...
◀️ From reputable universities and institutions
⛓ In universities, I am always asked about free resources for learning data science, and I thought it would be better to share these resources with you here. I hope this collection will be of great help to those who want to become professionals in the field of data science! 💯
🔄 Data science courses
⏺ Python for Everybody course ➡️ link
⏺ Data analysis with Python course ➡️ link
⏺ Databases and SQL course ➡️ link
⏺ Intro to Inferential Statistics course ➡️ link
⏺ Machine Learning Zoomcamp course ➡️ link
🔄 Data engineering courses
⏺ Data Engineering course ➡️ link
⏺ Data Engineer Learning course ➡️ link
⏺ Database Engineer course ➡️ link
⏺ Big Data Specialization course ➡️ link
⏺ Data Engineering Zoomcamp course ➡️ link
🔵 Machine learning courses
⏺ Intro to ML course ➡️ link
⏺ ML for Everybody course ➡️ link
⏺ ML course in Python with Scikit-Learn ➡️ link
⏺ ML Crash Course ➡️ link
⏺ Course CS229: ML ➡️ link
🟡 MLOps courses
⏺ Python Essentials for MLOps course ➡️ link
⏺ MLOps for Beginners course ➡️ link
⏺ MLOps Specialization course ➡️ link
⏺ MLOps Specialization course ➡️ link
⏺ Made with ML course ➡️ link
🔄 Productive artificial intelligence courses
⏺ Generative AI for Beginners course ➡️ link
⏺ Generative AI Fundamentals course ➡️ link
⏺ Intro to Generative AI course ➡️ link
⏺ Generative AI course with LLMs ➡️ link
⏺ Generative AI for Everyone course ➡️ link
☄️ 6 data science YouTube courses for beginners
⭐️ If you are looking to enter the field of data science and are going to start learning data science topics, these 6 free YouTube courses are a unique opportunity!
1️⃣ Python course with freeCodeCamp
📝 4.5 hour video that covers everything you need to become a Python programmer.
┌ 🏷 Python with freeCodeCamp
└ ◼️ LINK
2️⃣ statistics course with StatQuest
📝 One of the main and prerequisite topics for learning data science is statistics, which this learning course has made easier than ever.
┌ 🏷 Statistics with StatQuest
└ ◼️ LINK
3️⃣ Mathematics course with 3Blue1Brown
✍️ Learning linear algebra, neural networks and central limit theorem for data science.
┌ 🏷 Mathematics with 3Blue1Brown
└ ◼️ LINK
4️⃣ Data cleaning course with DataCamp
📝 Importance and techniques of how to obtain cleansed data and face the challenges of data cleansing.
┌ 🏷 Data Cleaning with DataCamp
└ ◼️ LINK
5️⃣ Machine learning course with Krish Naik
📝 6-hour video that introduces different aspects of ML, from linear regression to clustering algorithms.
┌ 🏷 Machine Learning with Krish Naik
└ ◼️ LINK
6️⃣ Data visualization course with Simplilearn
📝 Getting to know how to visualize data using Matplotlib, Seaborn and Bokeh libraries.
┌ 🏷 Data Visualizations with Simplilearn
└ ◼️ LINK
Telegram recently launched its official bot for earning cryptocurrencies through clicks
Invite your friends and get bonuses for each invited friend! 🎁
Your referral link: https://t.me/notcoin_bot?start=r_574156_5692331
The bot is verified by Telegram.
🖥 Build a typing assistant with Mistral 7B and Ollama - Python Tutorial
Incredible - local AI chatbot based on Ollama and Mistral 7B in just a hundred lines of Python code (!)
💻 Tutorial
🖥 GitHub
🎼 https://t.me/codeprogrammer 🆔
Repost from Data Science Books
Which of the following methods do you prefer in the purchasing or donation process?
If there is another platform, please let me know @hussein_sheikho
📚 NATURAL LANGUAGE PROCESSING (2023)
👁 Price: 5$
🔄 Download it: https://www.patreon.com/DataScienceBooks/shop/natural-language-processing-textbook-64525
💬 Tags: #NLP
🖥 A little word cloud generator in Python
Creating a word cloud based on the
'cl.txt' file
Particularly useful for NLP tasks or social media analysis
from wordcloud import WordCloud
import matplotlib.pyplot as plt
# Read text from a file
with open('cl.txt', 'r', encoding='utf-8') as file:
text = file.read()
# Generate word cloud
wordcloud = WordCloud(width=800, height=400, background_color='white').generate(text)
# Display the generated word cloud using matplotlib
plt.figure(figsize=(10, 5))
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis('off')
plt.show()pip install wordcloud
🥰 Github: https://github.com/amueller/word_cloud?ref=blog.electroica.comhttps://t.me/community_bot/join?startapp=id_192-r_MTU2NDYxOV8xNzk3
Win fee ton coin 💐
1 ton = 2.5$
