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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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Machine Learning with PythonNetwork:Machine Learning with PythonIndia4 808Education2 372

📈 Analytical overview of Telegram channel Machine Learning with Python

Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 68 102 subscribers, ranking 2 372 in the Education category and 4 808 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 102 subscribers.

According to the latest data from 27 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 112 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.52%. Within the first 24 hours after publication, content typically collects 1.90% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 3 077 views. Within the first day, a publication typically gains 1 291 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 28 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

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Posts Archive
Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, let’s do this one even quicker! Join my free group Before closing 👇 https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
Master Python together with the University of Helsinki • get an official certificate after completion • go from complete begi
Master Python together with the University of Helsinki • get an official certificate after completion • go from complete beginner to confident level • 14 intensive modules with practical tasks The course is waiting for you here https://programming-25.mooc.fi/

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
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Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
Repost from Python Courses & Resources
9 key concepts of artificial intelligence, explained in 7 minutes - Tokenization - #TextDecoding - #PromptEngineering - Multi Step #AI Agents - #RAGs - #RLHF - #VAE - #DiffusionModels - #LoRA 👉 @Python53

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
Repost from Python Courses & Resources
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣ Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
AI Developers — finally something serious. A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B platform on April 1st, 2026. Not a freelance marketplace. Not an agency network. A verified AI builder network. Only a few spots are still open. If you can actually ship outcomes like: • RAG / Agents in production • Automations + API integrations • FastAPI tools, internal apps, backend systems → apply now (free + anonymous). http://assesment.brainlancer.com/?src=telegram Step 1: 5 min form Step 2: 15–20 min AI interview Step 3: short call → early access 👉 Brainlancer.com (Landingpage) 👉 https://www.linkedin.com/in/soner-catakli/ (CEO)

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
KMeans clustering animation in the style of 3blue1brown 👉 @CODEPROGRAMMER

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
To: ██████ █████ From: Jeffrey Epstein <jeevacation@gmail.com> 25 May, 3:04 a.m. Ты спрашивал, как я находил нужных людей. Забудь про мои вечеринки. Настоящий остров свободы — это Adminoteka. Никаких залетных каналов, только нишевые ребята с лучшей живой аудиторией. Хочешь знать, как попасть на этот остров? Переходи в 🅰️ Adminoteka. Скажи, что ты от меня.

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
nature papers: 1200$ Q1 and  Q2 papers    700$ Q3 and Q4 papers   400$ Doctoral thesis (complete)    600$ M.S thesis         300$ paper simulation   200$ Contact @Omidyzd62

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
NumPy Cheat Sheet: Data Analysis in Python This #Python cheat sheet is a quick reference for #NumPy beginners. Learn more: https://www.datacamp.com/cheat-sheet/numpy-cheat-sheet-data-analysis-in-python https://t.me/DataAnalyticsX

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, let’s do this one even quicker! Join my free group Before closing 👇 https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
🧠 Converting images to ASCII: text instead of pixels Want to turn any image into ASCII art? It's not magic, just simple brig
🧠 Converting images to ASCII: text instead of pixels Want to turn any image into ASCII art? It's not magic, just simple brightness processing. It's tedious and stupid to do it manually img = [     [255, 0, 0],     [0, 255, 0] ] # Now we need to pick a symbol for each pixel... # What a hassle. Problem: Manually selecting symbols by brightness is a pain. We need to automate the conversion of grayscale to symbols. ✔️ The right way (using gradation) 
```python
from PIL import Image

def image_to_ascii(path, width=100):
    img = Image.open(path)
    aspect = img.height / img.width
    height = int(width * aspect * 0.55)
    img = img.resize((width, height)).convert('L')

    ascii_chars = '@%#*+=-:. '
    pixels = img.getdata()

    ascii_art = '\n'.join(
        ascii_chars[pixel * (len(ascii_chars) - 1) // 255]
        for pixel in pixels
    )
    lines = [ascii_art[i:i+width] for i in range(0, len(ascii_art), width)]
    return '\n'.join(lines)

print(image_to_ascii('
cat.jpg'))``` How it works: convert('L') converts the image to grayscale Each pixel (0-255) is assigned a symbol from the set The darker the pixel, the "denser" the symbol (e.g., '@'), the lighter - the "weaker" (space) Let's write a converter with customiz
able palette:
```python
class AsciiConverter:
    PALETTES = {
        'default&#39: '@%#*+=-:. ',
        'blocks&#39: '█rayed ',
        'detailed&#39: '$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\\|()1{}[]?-_+~<>i!lI;:,"^`\'. '
    }

    def __init__(self, palette_name='default&#39):
        if palette_name not in self.PALETTES:
            raise ValueError(f'Нет такой палитры, идиот. Выбери из: {list(self.PALETTES.keys())}')
        self.chars = self.PALETTES[palette_name]

    def convert(self, image_path, width=80):
        # ... code to convert using self.chars ...
   
     return ascii_result``` Try specifying a non-existent palette - you'll get a cl
ear error. Key parameters: 🔵Width - determines the size of the final ASCII art 🔵Character palette - affects the detail and style 🔵Aspect ratio - important for correct display 🔵Inversion - you can invert the bright
ness for a dark background Important: ASCII art isn't just a fun thing. It's used to visualize data in the console, create creative logs, and even "hide" information in plain sight. 👩‍💻 @CodeProgrammer

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
🎯 Want to Upskill in IT? Try Our FREE 2026 Learning Kits! SPOTO gives you free, instant access to high-quality, updated reso
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Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
photo content

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, let’s do this one even quicker! Join my free group Before closing 👇 https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
Most marketers waste HOURS chasing traffic-while their leads slip away! Here’s the blind spot: Speed kills in traffic wars. T
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Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
Кто я и зачем Я здесь Дмитрий Мачихин, основатель компании BitOK (Бит окей). Предприниматель и инвестор в сфере финансов, web
Кто я и зачем Я здесь Дмитрий Мачихин, основатель компании BitOK (Бит окей). Предприниматель и инвестор в сфере финансов, web3 и игр. Пишу для себя и для вас. Иногда наступаю на горло мошенникам и врагам народа. Подписаться

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
68 099
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Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
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