Machine Learning & Artificial Intelligence | Data Science Free Courses

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Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun

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📈 Análisis del canal de Telegram Machine Learning & Artificial Intelligence | Data Science Free Courses

El canal Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 66 762 suscriptores, ocupando la posición 2 446 en la categoría Educación y el puesto 431 en la región Malasia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 66 762 suscriptores.

Según los últimos datos del 25 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 519, y en las últimas 24 horas de 31, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.76%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.78% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 510 visualizaciones. En el primer día suele acumular 524 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 3.
Intereses temáticos: El contenido se centra en temas clave como sellerflash, waybienad, pricing, buybox, buyer.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 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.

66 762

Suscriptores

+3124 horas

+797 días

+51930 días

510

Visitas de la publicación

~ 52424 horas

~ 74548 horas

0.76%

Tasa de compromiso

~ 2

Mensajes por día

Ads index

beta

Archivo de publicaciones

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Want to build AI Apps and get jobs in GenAI domain? 🚀 "Build ChatGPT replica in 1 hour!" is a 1-hour FREE workshop by IIT Jodhpur Alumni to help you learn GenAI and make you ready for your next tech job. Register now: https://tally.so/r/w8Krxr 🗓️ : 30th March || 9 PM What will you learn? 📕 🚀 How to Build Chatbot Like GPT 🚀 GPT API Foundations 🚀 Hands-On Chatbot Building 🚀 Al in Conversational Systems 🚀 Q&A session and Impact of AI in jobs Learn from AI experts, acquire new skills, and connect with like-minded individuals in the field. Register Here: https://tally.so/r/w8Krxr Only a few seats left ⚠️

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Repost from Artificial Intelligence

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HANDSON_DATA_SCIENCE_AND_PYTHON_MACHINE_LEARNING_@computer_books.pdf17.56 MB

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Data Science Tools Christopher Greco, 2020

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I often get asked- what's the BEST Certification for #datascience or #machinelearning? 👉My answer is: none The reality is that certification don't matter for data science. This is not commerce. we are not using the same techniques over and over again to solve well-defined problems. The problems are challenging, the data is messy and numerous techniques are used. So if you've wondering which certification you should get, Save yourself,some mental energy and stop thinking about it- they are not really matter. 👉 Instead, grab a dataset and start playing with it. 👉 Start applying what you know and trying to solve interesting problems, learn something new every day. 👉 Here are few places to grab datasets to get you started Google: https://toolbox.google.com/datasetsearch Kaggle: https://www.kaggle.com/datasets US Government Dataset: www.data.gov Quandl: https://www.quandl.com/ UCI ML repo: http://mlr.cs.umass.edu/ml/datasets.html World Bank🏦: https://data.worldbank.org/

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🔥WEBSITES TO GET FREE DATA SCIENCE CERTIFICATIONS🔥 👌. Kaggle: http://kaggle.com 👌. freeCodeCamp: http://freecodecamp.org 👌. Cognitive Class: http://cognitiveclass.ai 👌. Microsoft Learn: http://learn.microsoft.com 👌. Google's Learning Platform: https://developers.google.com/learn

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❌ THE MOST PRIVATE GROUP №1 ❌ They are robbing Crypto Exchanges for Millions of dollars! Yesterday profit = 50,000$+ 👉 https://t.me/+5YRwSjrwkCIwNDE1 👉 https://t.me/+5YRwSjrwkCIwNDE1 👉 https://t.me/+5YRwSjrwkCIwNDE1 Go fast! Only the first 1000 subs will be accepted! 👀🚀

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Machine learning types

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New developers: whenever you work on something interesting, write it down in a document which you keep updating. This will be very helpful when you need to create a resume or have to talk about your achievements in an interview. (Or for college essays.) I can guarantee you that if you don't do this, you will forget half the interesting things you've done; and for a majority of us, our brains are experts in convincing us that we haven't really done anything interesting.

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Machine Learning Algorithm cheat sheet

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🚀 Required Skills for a data scientist 🎯Statistics and Probability 🎯Mathematics 🎯Python, R, SAS and Scala or other. 🎯Data visualisation 🎯Big data 🎯Data inquisitiveness 🎯Business expertise 🎯Critical thinking 🎯Machine learning, deep learning and AI 🎯Communication skills 🎯Teamwork