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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 67 838 suscriptores, ocupando la posición 2 407 en la categoría Educación y el puesto 5 078 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 67 838 suscriptores.

Según los últimos datos del 04 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 75, y en las últimas 24 horas de 11, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.53%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.84% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 717 visualizaciones. En el primer día suele acumular 1 249 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 05 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.

67 838
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Archivo de publicaciones
Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
Overfitting and Generalization in Machine Learning My ML model had 100% accuracy. And was completely useless. That's not a paradox; that's overfitting. The model didn't learn. It memorized. Here's the mathematical core most tutorials skip: E[loss] = Bias² + Variance + σ² → Bias² = too simple → Underfitting → Variance = too complex → Overfitting → σ² = irreducible → always there What this actually means in practice: → A degree-9 polynomial on 6 data points hits R² = 1.0 and oscillates wildly between them → A linear model on sine-wave data has near-zero variance — but massive bias → The optimal model isn't the simplest. Not the most complex. It's the one minimizing Bias² + Variance And the generalization gap? Formally defined as: gen_gap(f) = R(f) − R_emp(f) When this value is ≫ 0, your model is learning noise, not signal. The fix isn't "collect more data and hope." The fix is regularization, which I derive fully in my paper: L1, L2, Dropout, and Early Stopping, all from first principles. Which regularization strategy do you use most and why?

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
Most AI engineers never fully understood the maths behind what they build! 🤯🧮 This is an open, unconventional textbook cove
Most AI engineers never fully understood the maths behind what they build! 🤯🧮 This is an open, unconventional textbook covering maths, CS, and AI from the ground up, written for curious practitioners who want to deeply understand the field, not just survive an interview. 📘✨ Over 7 years of AI/ML experience distilled into intuition-first, no hand-waving explanations that connect the concepts in a way that actually sticks. 🧠🔗 What it covers: - Vectors, linear algebra, calculus, and optimization 📐📉 - Classical machine learning and deep learning 🤖 - Transformer architectures and LLMs 🦄 - Efficient architectures, quantization, and distillation ⚡️ - CUDA, GPU programming, and SIMD 🚀 - AI inference and deployment 🌐 Ships with an MCP server so Claude Code, Cursor, and any MCP-compatible agent can use the compendium as a live knowledge base during development. You only need elementary maths and basic Python to start. 🐍🏗 Repo: https://github.com/HenryNdubuaku/maths-cs-ai-compendium 🔗

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
🧮 $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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
Your 1:3 RR keeps failing for 7 days? 📊 ElitePIP “Entry Filters”: 3 checks before you click. Get it: Join Filters #ad 📢 Ins
Your 1:3 RR keeps failing for 7 days? 📊 ElitePIP “Entry Filters”: 3 checks before you click. Get it: Join Filters #ad 📢 InsideAd

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
🔖 A huge repository of resources on Data Science 📈 Awesome DataScience — a structured list of open-source data, datasets, l
🔖 A huge repository of resources on Data Science 📈 Awesome DataScience — a structured list of open-source data, datasets, libraries, and tutorials for solving real-world problems. 🛠️ It's useful for both beginners and those already familiar with the field — you'll find something new here. 🌱 ⛓️ Link to GitHub: https://github.com/academic/awesome-datascience 🔗 tags: #DataScientist 🤖 #AI 🧠 #TechCommunity 🌐 #GrowthMindset 📈 #OpenSource 🏆 ▶️ https://t.me/CodeProgrammer 👨‍💻

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
💡 Level Up Your IT Career in 2026 – For FREE Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #I
💡 Level Up Your IT Career in 2026 – For FREE Areas covered: #Python #AI #Cisco #PMP #Fortinet #AWS #Azure #Excel #CompTIA #ITIL #Cloud + more 🔗 Download each free resource here: • Free Courses (Python, Excel, Cyber Security, Cisco, SQL, ITIL, PMP, AWS) 👉https://bit.ly/4ejSFbz • IT Certs E-book 👉 https://bit.ly/42y8owh • IT Exams Skill Test 👉 https://bit.ly/42kp7Dv • Free AI Materials & Support Tools 👉 https://bit.ly/3QEfWek • Free Cloud Study Guide 👉https://bit.ly/4u8Zb9r 📲 Need exam help? Contact admin: wa.link/40f942 💬 Join our study group (free tips & support): https://chat.whatsapp.com/K3n7OYEXgT1CHGylN6fM5a

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
Here are the 25 ML feature engineering techniques
Here are the 25 ML feature engineering techniques

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
🧮 $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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
Repost from Udemy Free Coupons
500+ NumPY Interview Questions Practice Test NumPY Interview Questions and Answers Preparation Practice Test | Freshers to Ex
500+ NumPY Interview Questions Practice Test NumPY Interview Questions and Answers Preparation Practice Test | Freshers to Experienced | Detailed Explanations… 🏷 Category: development 🌍 Language: English (US) 👥 Students: 1,641 students ⭐️ Rating: 5.0/5.0 (1 reviews) 🏃‍♂️ Enrollments Left: 41 ⏳ Expires In: 0D:30H:30M 💰 Price: $9.59 ⟹ FREE 🆔 Coupon: 4EFAA9C99E857635682C ⚠️ Please enroll manually — a verification layer protects against bots. 💎 By: https://t.me/Udemy26

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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!

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
🧮 $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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
🧮 $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

Machine Learning with Python
Machine Learning with Pythonverified-telegram-icon
67 831
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