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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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📈 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 68 102 suscriptores, ocupando la posición 2 372 en la categoría Educación y el puesto 4 808 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 68 102 suscriptores.

Según los últimos datos del 27 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 112, y en las últimas 24 horas de 8, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 4.52%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.90% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 3 077 visualizaciones. En el primer día suele acumular 1 291 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 5.
  • 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 28 agosto, 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.

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68 102
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+824 horas
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+11230 días
Archivo de publicaciones
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Here are the 25 ML feature engineering techniques
Here are the 25 ML feature engineering techniques

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

Leaked 7‑minute pre‑trade checklist: I stole this after watching 12 losing trades in a row… and it flipped my next 3 sessions
Leaked 7‑minute pre‑trade checklist: I stole this after watching 12 losing trades in a row… and it flipped my next 3 sessions. 1) mark the 2 liquidity levels first, 2) wait for the 15m sweep, 3) confirm 1 candle shift, 4) set 1R auto‑rule, 5) log the screenshot before entry. Want the template? Join Checklist #ad 📢 InsideAd

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Register for the FREE Python Demo Session! 📅 Date: 30 April 2026 ⏰ Time: 7:30 PM 🔗 Zoom Link: https://us06web.zoom.us/meeti
Register for the FREE Python Demo Session! 📅 Date: 30 April 2026 ⏰ Time: 7:30 PM 🔗 Zoom Link: https://us06web.zoom.us/meeting/register/HSOTmzzpTkGIGm9C9oGbaA Everyone is welcome!

In the last 14 days, 63% of retail trades were stopped out… but not because the market “hates” you - it’s the plan that’s mis
In the last 14 days, 63% of retail trades were stopped out… but not because the market “hates” you - it’s the plan that’s missing. 𝗘𝗟𝗜𝗧𝗘𝗣𝗜𝗣 𝗘𝗠𝗣𝗜𝗥𝗘 helps you trade calmer with daily setups, clear levels, and 1-on-1 support when you feel stuck. Less panic. More structure. Request access here: Join #ad 📢 InsideAd

I watched 3 traders blow accounts in 7 days… for the same 1 mistake. Here’s the fix. Leaked Checklist (ELITEPIP EMPIRE): - Sp
I watched 3 traders blow accounts in 7 days… for the same 1 mistake. Here’s the fix. Leaked Checklist (ELITEPIP EMPIRE): - Spot the 2 news traps that fake out “easy” entries - Use the 3-step setup filter to skip low-quality signals - Lock risk with a 1-minute position plan - Read market bias in under 5 minutes Join & level up | Get access #ad 📢 InsideAd

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

Listen-after watching 37 “perfect” signal channels, the real money leak wasn’t entries… it was where people place the stop (y
Listen-after watching 37 “perfect” signal channels, the real money leak wasn’t entries… it was where people place the stop (yep, that one tiny line). 𝗘𝗟𝗜𝗧𝗘𝗣𝗜𝗣 𝗘𝗠𝗣𝗜𝗥𝗘 ️️📊 shows daily setups + why they work so you stop guessing. Private access here: Request to join #ad 📢 InsideAd

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

Here’s the $100 mistake most traders make in the first 7 minutes of London open. It’s not “bad signals” - it’s chasing the fi
Here’s the $100 mistake most traders make in the first 7 minutes of London open. It’s not “bad signals” - it’s chasing the first candle while spreads + fakeouts spike. We break the blind spot with daily setups, market context, and mentoring inside 𝗘𝗟𝗜𝗧𝗘𝗣𝗜𝗣 𝗘𝗠𝗣𝗜𝗥𝗘. Move faster than the market. Join #ad 📢 InsideAd

🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed
🧮 $40/day × 30 days = $1,200/month. That's what my students average. From their phone. In 10 minutes a day. No degree needed. No investment knowledge required. Just Copy & Paste my moves. I'm Tania, and this is real. 👉 Join for Free, Click here #ad 📢 InsideAd

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Searched 35 free courses, so you don't have to! 🔍✨ Here are the 35 best free courses: 🎓 1. Data Science: Machine Learning �
Searched 35 free courses, so you don't have to! 🔍✨ Here are the 35 best free courses: 🎓 1. Data Science: Machine Learning 🤖 Link: https://lnkd.in/gUNVYgGB 2. Introduction to computer science 💻 Link: https://lnkd.in/gR66-htH 3. Introduction to programming with scratch 🧩 Link: https://lnkd.in/gBDUf_Wx 4. Computer science for business professionals 💼 Link: https://lnkd.in/g8gQ6N-H 5. How to conduct and write a literature review 📝 Link: https://lnkd.in/gsh63GET 6. Software Construction 🛠 Link: https://lnkd.in/ghtwpNFJ 7. Machine Learning with Python: from linear models to deep learning 🐍🧠 Link: https://lnkd.in/g_T7tAdm 8. Startup Success: How to launch a technology company in 6 steps 🚀 Link: https://lnkd.in/gN3-_Utz 9. Data analysis: statistical modeling and computation in applications 📊 Link: https://lnkd.in/gCeihcZN 10. The art and science of searching in systematic reviews 🔎 Link: https://lnkd.in/giFW5q4y 11. Introduction to conducting systematic review 📋 Link: https://lnkd.in/g6EEgCkW 12. Introduction to computer science and programming using python 🖥 Link: https://lnkd.in/gwhMpWck 13. Introduction to computational thinking and data science 💡 Link: https://lnkd.in/gfjuDp5y 14. Becoming an Entrepreneur 💸 Link: https://lnkd.in/gqkYmVAW 15. High-dimensional data analysis 📈 Link: https://lnkd.in/gv9RV9Zc 16. Statistics and R 📉 Link: https://lnkd.in/gUY3jd8v 17. Conduct a literature review 📚 Link: https://lnkd.in/g4au3w2j 18. Systematic Literature Review: An Introduction 🧐 Link: https://lnkd.in/gVwGAzzY 19. Introduction to systematic review and meta-analysis 🧮 Link: https://lnkd.in/gnpN9ivf 20. Creating a systematic literature review ✍️ Link: https://lnkd.in/gbevCuy6 21. Systematic reviews and meta-analysis 📊 Link: https://lnkd.in/ggnNeX5j 22. Research methodologies 🕵️‍♂️ Link: https://lnkd.in/gqh3VKCC 23. Quantitative and Qualitative research for beginners 📊💬 Link: https://shorturl.at/uNT58 24. Writing case studies: science of delivery 📑 Link: https://shorturl.at/ejnMY 25. research methodology: complete research project blueprint 🗺 Link: https://lnkd.in/gFU8Nbrv 26. How to write a successful research paper 📜 Link: https://lnkd.in/g-ni3u5q 27. Research proposal bootcamp: how to write a research proposal 🏃‍♂️ Link: https://lnkd.in/gNRitBwX 28. Understanding technology 📱 Link: https://lnkd.in/gfjUnHfd 29. Introduction to artificial intelligence with Python 🤖🐍 Link: https://lnkd.in/gygaeAcY 30. Introduction to programming with Python 💻 Link: https://lnkd.in/gAdyf6xR 31. Web programming with Python and JavaScript 🌐 Link: https://lnkd.in/g_i5-SeG 32. Understanding Research methods 🔬 Link: https://lnkd.in/g-xBFj4v 33. How to write and publish a scientific paper 📢 Link: https://lnkd.in/giwTe2is 34. Introduction to systematic review and meta-analysis 📊 Link: https://lnkd.in/gnpN9ivf 35. Research for impact 🌍 Link: https://lnkd.in/gRsWsUsq

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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A