FREE NOTES 🔖CODINIT🔖

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🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #job

India34 068 Educación16 264...

📈 Análisis del canal de Telegram FREE NOTES 🔖CODINIT🔖

El canal FREE NOTES 🔖CODINIT🔖 (@cod_init) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 12 468 suscriptores, ocupando la posición 16 264 en la categoría Educación y el puesto 34 068 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 12 468 suscriptores.

Según los últimos datos del 14 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -175, y en las últimas 24 horas de -3, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 0%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🔸This Channel is Only For Educational Purposes. No Copyright Infringement Intended. 🔸All the Credits & Rights Reserved to the Actual Owners. ✅ paid promotion DM @CODInitBot #studymaterial #interview #placement #notes #course #gate #freecourse #j...”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 15 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.

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Suscriptores

-324 horas

-367 días

-17530 días

Sin datos

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

Sin datos

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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AWS Interview Guide -1.pdf

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AWS Interview Questions_Answers.pdf

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Full stack data science is required or not

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Repost from FREE NOTES 🔖CODINIT🔖

Kisiko Angela ki Flutter, Python 🌟 and web development chaiye 👇👇👇👇👇👇 Mega Link 🖇️ Click here 🔥 Download process watch video

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Kal subha angela course daldunga 😍

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Bohot sare course abhi aya hai.. mera paas ..daldunga sab kuchh baas tum thoda merko v support kardo.. channel ko share karke subscribe badhado.. jisse merko motivation mile... Aur mera YouTube channel ko subscribe kardo.. baas itna hi...

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Premium course Android development using flutter

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Angela

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Kisiko Angela ki Flutter, Python 🌟 and web development chaiye

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Repost from FREE NOTES 🔖CODINIT🔖

Finally all videos uploaded .. 🔥🍀GFG🍀🔥 Mega Link Click here 😀👈 Check out all. Video one link.. download process Abhi check karlo thik ho gaya hoga.. with out key if required key then use👇

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Repost from FREE NOTES 🔖CODINIT🔖

Finally all videos uploaded .. 🔥🍀GFG🍀🔥 Mega Link Click here 😀👈 Check out all. Video one link.. Abhi check karlo thik ho gaya hoga.. with out key if required key then use👇

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Repost from FREE NOTES 🔖CODINIT🔖

Telegram link Join ineuron Full Stack web development

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👉Delta Full Stack Developmet👈 🆓🆓 LECTURES 🆓🆓 ▪︎ DAY 1 ▪︎ DAY 2 ▪︎ DAY 3 ▪︎ DAY 4 ▪︎ DAY 5 ▪︎ DAY 6 ▪️ DAY 1- 8🔥🔥 ▪️ DAY 1 - 11 ▪️DAY 12 ✅👉Incase Of Copyright ▪︎ Join- Placement & Internship ✅👉 Our Official Channel ▪︎ Join - Official Watch video How to download only 2min ☺️👉👉 I hope it's not very difficult to get link

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This channel will help you Updated Freshers Job notification with Good Advice to grow your career. ✨Tips and Free course with Notes ✨ https://t.me/Freshure_Hub_Job

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Bhai log Mera ak help kardo .... Apke liye free mai course dalke help karta nhu... baas tum ak hi help kardo Mera .. Koi v pesa nehi lagega apka ... Please 🥰 Kisi ko jar jabatdasti nehi.. agar apko lagta hai ki iss channel se aapko kuchh v madat Mila hoga.. to please subscribe kardena.. nehi ta apka Marzi...🙂 https://www.youtube.com/@Jpchandai Iss channel ko please subscribe karke subscribe badhado.. please bhai... Only subscribe 😔

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1. [Coding Ninjas] Android App Development [Premium] 2. [Coding Ninjas] Competitive Programming 3. [Coding Ninjas] Java Foundation with Data Structures & Algorithms [English & Hindi] 4. [Coding Ninjas] Machine Learning and Data Science 5. [Coding Ninjas]Basics of Aptitude Preparation for Interview Rounds 6. [Coding Ninjas] [Premium] Data Structrure and Algorithms [Career Camp] 7. [Coding Ninjas] Advanced Front-End Web Development with React 8. [Coding Ninjas] Data Structures and Algorithms [C++] 2020 9. [Coding Ninjas] Full Stack Web Development 10. [Coding Ninjas] Interview Preparation [C++] 11. [Coding Ninjas] Introduction to C++ 12. [Coding Ninjas] Python Foundation with Data Structures & Algorithms Download : Click here HOW TO DOWNLOAD VIDEO TUTORIAL In pin 📍 ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Note : Import this mega Link as soon as possible before it expires ♻️Share Channel and Support♻️

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Sql Basic to Advanced.pdf

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12 Steps You Should Follow to Become a Machine Learning Engineer If you're looking to start a career in machine learning engineering or considering a career switch, you should focus on the following key areas: Mathematics & Statistics: • Linear Algebra, Calculus, and Probability & Statistics: https://lnkd.in/eabKGp.p • OpenIntro Statistics - https://lnkd.in/eQvjgbmB 2-SQL & Databases: https://lnkd.in/ea2DmZ2d 3-Core Concepts of Machine Learning: • Google's ML Crash Course - https://lnkd.in/eT7NiGp6 • Andrew Ng's Coursera ML Course - https://lnkd.in/e964AC7 • Fast.al's Practical Deep Learning- https://course.fast.ai/ 4-Programming Skills (Python & Libraries): • Corey Schafer's Python Tutorials - https://lnkd.in/euyfHHxa • Scikit-learn- https://lnkd.in/eqFhCwXt • TensorFlow - https://lnkd.in/e6RWbe9h • PyTorch - https://lnkd.in/efhPxZPM 5- Model Training & Tuning Techniques: • Kaggle's Intermediate ML- https://lnkd.in/e89AmkzE • Hyperparameter Tuning- https://lnkd.in/ezEnqeG2 6-Advanced Deep Learning Models: • Stanford's CS231n (CNNs) - http://cs231n.github.io/ • Deep Learning Book- https://lnkd.in/e_utEgZM 7-Deployment, Monitoring, & Maintenance: • Docker - https://lnkd.in/esXHzx9k ⚫ Git - https://lnkd.in/esQBFMxS • AWS ML- https://lnkd.in/eZcdQPee ⚫ Azure ML - https://lnkd.in/e5fvmvtk 8-Resume Preparation Soft Skills & Tips: • Resume https://lnkd.in/eP7isRZF • Soft Skills & Tips: https://lnkd.in/e_xE4wdr 9- Machine Learning Projects: • https://lnkd.in/e5kyv3Tv These resources will help you build a strong foundation in machine learning, and develop the skills necessary to excel as a machine learning engineer. Remember, practice is key—so work on projects and apply your knowledge to real-world problems for the best learning experience. If you think I've missed something, please feel free to mention it in the comments section.

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Repost from FREE NOTES 🔖CODINIT🔖

Coding Blocks All course 🆓 free Course link Click here Watch video 📍 how to get link process all same.