es
Feedback
Machine Learning with Python

Machine Learning with Python

Ir al canal en Telegram

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

Mostrar más
Machine Learning with PythonRed:Machine Learning with PythonIndia5 049Educación2 404

📈 Análisis del canal de Telegram Machine Learning with Python

El canal Machine Learning with Python (@codeprogrammer) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 67 819 suscriptores, ocupando la posición 2 404 en la categoría Educación y el puesto 5 049 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 819 suscriptores.

Según los últimos datos del 05 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 77, y en las últimas 24 horas de 9, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.60%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.50% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 767 visualizaciones. En el primer día suele acumular 1 695 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
  • Intereses temáticos: El contenido se centra en temas clave como insidead, learning, degree, evaluation, algorithm.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 06 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

67 819
Suscriptores
+924 horas
+587 días
+7730 días
Archivo de publicaciones
Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
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
67 816
🧠 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
67 816
🎯 Want to Upskill in IT? Try Our FREE 2026 Learning Kits! SPOTO gives you free, instant access to high-quality, updated reso
🎯 Want to Upskill in IT? Try Our FREE 2026 Learning Kits! SPOTO gives you free, instant access to high-quality, updated resources that help you study smarter and pass exams faster. ✅ Latest Exam Materials: Covering #Python, #Cisco, #PMI, #Fortinet, #AWS, #Azure, #AI, #Excel, #comptia, #ITIL, #cloud & more! ✅ 100% Free, No Sign-up: All materials are instantly downloadable ✅ What’s Inside: ・📘IT Certs E-book: https://bit.ly/3Mlu5ez ・📝IT Exams Skill Test: https://bit.ly/3NVrgRU ・🎓Free IT courses: https://bit.ly/3M9h5su ・🤖Free PMP Study Guide: https://bit.ly/4te3EIn ・☁️Free Cloud Study Guide: https://bit.ly/4kgFVDs 👉 Become Part of Our IT Learning Circle! resources and support: https://chat.whatsapp.com/FlG2rOYVySLEHLKXF3nKGB 💬 Want exam help? Chat with an admin now! wa.link/8fy3x4

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
photo content

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
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
67 816
Most marketers waste HOURS chasing traffic-while their leads slip away! Here’s the blind spot: Speed kills in traffic wars. T
Most marketers waste HOURS chasing traffic-while their leads slip away! Here’s the blind spot: Speed kills in traffic wars. ToNew bot blasts your tasks AUTOMATICALLY-real users, real fast, real results. Don’t wait. Set up in 3 minutes. Ignite your growth NOW! 🚀 Ready to explode your reach? ⭐️Start #ad InsideAds.

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
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
67 816
free

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
Repost from Udemy Free Coupons
Hands On Python Data Science - Data Science Bootcamp Master Python for Data Science with Real-World Applications: Dive Deep i
Hands On Python Data Science - Data Science Bootcamp Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning... 🏷 Category: development 🌍 Language: English (US) 👥 Students: 29,499 students ⭐️ Rating: 4.4/5.0 (392 reviews) 🏃‍♂️ Enrollments Left: 1,000 ⏳ Expires In: 3D:23H:15M 💰 Price: $20.63 => FREE 🆔 Coupon: 4439248302A1B82C38D3 ⚠️ Please note: A verification layer has been added to prevent bad actors and bots from claiming the courses, so it is important for genuine users to enroll manually to not lose this free opportunity. 💎 By: https://t.me/DataScienceC

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
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
67 816
photo content

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
GitHub has launched its learning platform: all #courses and certificates in one place. #Git, #GitHub, #MCP, using #AI, #VSCode, and much more. And most of the content is #free: → https://learn.github.com 👉 @codeprogrammer

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
Tired of "Content not available in your region"? 🌍 Don't let local restrictions dictate what you can watch or read. Whether
Tired of "Content not available in your region"? 🌍 Don't let local restrictions dictate what you can watch or read. Whether it’s YouTube, Instagram, WhatsApp, or AI services, DJ VPN restores your digital freedom and security instantly. Why DJ VPN is your best choice: ✅ No Lags: Optimized for high-quality streaming and lag-free calls. ✅ Universal: One subscription works on iOS, Android, Mac, Windows, and Apple TV. ✅ Privacy: We follow a strict no-logs policy. 🤝 Earn with us: Our referral program is simple: Invite a friend and get 7 days of premium access for yourself once they subscribe. Plus, you receive 20% commission from all their future payments! Start your 3-day FREE trial today! @DJ_VPNbot @DJ_VPNbot @DJ_VPNbot

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
photo content

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
Repost from ADMINOTEKA

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
❗️LISA HELPS EVERYONE EARN MONEY!$29,000 HE'S GIVING AWAY TODAY! Everyone can join his channel and make money! He gives away
❗️LISA HELPS EVERYONE EARN MONEY!$29,000 HE'S GIVING AWAY TODAY! Everyone can join his channel and make money! He gives away from $200 to $5.000 every day in his channel https://t.me/+HDFF3Mo_t68zNWQy ⚡️FREE ONLY FOR THE FIRST 500 SUBSCRIBERS! FURTHER ENTRY IS PAID! 👆👇 https://t.me/+HDFF3Mo_t68zNWQy

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝗿𝗲𝗳𝗲𝗿𝗿𝗮𝗹𝘀 𝗮𝗻𝗱 𝗝𝗼𝗯𝘀 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝗶𝗲𝘀 𝗳𝗿𝗼𝗺 𝗧𝗼𝗽 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗕𝗮𝘀𝗲𝗱, 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 𝗕𝗮𝘀𝗲𝗱 𝗮𝗻𝗱 𝗦𝘁𝗮𝗿𝘁 𝘂𝗽  𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗹𝗶𝗸𝗲 𝗔𝗺𝗮𝘇𝗼𝗻, 𝗚𝗼𝗼𝗴𝗹𝗲,  𝗔𝗽𝗽𝗹𝗲, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁, 𝗜𝗕𝗠, 𝗧𝗖𝗦, 𝗖𝗼𝗴𝗻𝗶𝘇𝗮𝗻𝘁, 𝗪𝗶𝗽𝗿𝗼, 𝗖𝗧𝗦, 𝗚𝗼𝗹𝗱𝗺𝗮𝗻 𝗦𝗮𝗰𝗵𝘀, 𝗢𝗹𝗮, 𝗨𝗯𝗲𝗿, 𝗭𝗼𝗺𝗮𝘁𝗼, 𝗦𝘄𝗶𝗴𝗴𝘆, 𝘂𝗽𝗚𝗿𝗮𝗱, 𝗖𝘂𝗿𝗲 𝗙𝗶𝘁, 𝗛𝗮𝗰𝗸𝗲𝗿𝗿𝗮𝗻𝗸, 𝗚𝗲𝗲𝗸𝘀𝗳𝗼𝗿𝗴𝗲𝗲𝗸𝘀 𝗮𝗻𝗱 𝗺𝗮𝗻𝘆 𝗺𝗼𝗿𝗲, 𝗰𝗮𝗻 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲𝘀𝗲 𝗯𝗲𝗹𝗼𝘄 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 👇👇   https://t.me/jobsandinternshipsupdates

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
💛 Top 10 Best Websites to Learn Machine Learning ⭐️ by [@codeprogrammer] --- 🧠 Google’s ML Course 🔗 https://developers.google.com/machine-learning/crash-course 📈 Kaggle Courses 🔗 https://kaggle.com/learn 🧑‍🎓 Coursera – Andrew Ng’s ML Course 🔗 https://coursera.org/learn/machine-learning ⚡️ Fast.ai 🔗 https://fast.ai 🔧 Scikit-Learn Documentation 🔗 https://scikit-learn.org 📹 TensorFlow Tutorials 🔗 https://tensorflow.org/tutorials 🔥 PyTorch Tutorials 🔗 https://docs.pytorch.org/tutorials/ 🏛️ MIT OpenCourseWare – Machine Learning 🔗 https://ocw.mit.edu/courses/6-867-machine-learning-fall-2006/ ✍️ Towards Data Science (Blog) 🔗 https://towardsdatascience.com --- 💡 Which one are you starting with? Drop a comment below! 👇 #MachineLearning #LearnML #DataScience #AI #TechWithRam

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 816
Do you see yourself as a programmer, researcher, or engineer?
Anonymous voting