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 66 765 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 66 765 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.

66 765

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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150 SQL Queries for Practice 👇👇 https://t.me/DataAnalystInterview/170

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Why Statistics Matter in Data Science even in 2023

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This channels is for Programmers, Coders, Software Engineers. 0- Python 1- Data Science 2- Machine Learning 3- Data Visualization 4- Artificial Intelligence 5- Data Analysis 6- Statistics 7- Deep Learning 8- programming Languages ✅ Best channels on Telegram: https://t.me/addlist/JbC2D8X2g700ZGMx ✅ Free Courses with Certificate: https://t.me/free4unow_backup

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How to enter into Data Science 👉Start with the basics: Learn programming languages like Python and R to master data analysis and machine learning techniques. Familiarize yourself with tools such as TensorFlow, sci-kit-learn, and Tableau to build a strong foundation. 👉Choose your target field: From healthcare to finance, marketing, and more, data scientists play a pivotal role in extracting valuable insights from data. You should choose which field you want to become a data scientist in and start learning more about it. 👉Build a portfolio: Start building small projects and add them to your portfolio. This will help you build credibility and showcase your skills.

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Analysts agree – Bitcoin is set to reach $120k in 2024 🔺 That's a shame that so many people are going to miss it. Or mess it by only buying BTC and locking in 3X profit. But those with a balanced crypto portfolio are certain to build generational wealth. And all it takes is to follow professional traders, such as SZ. His Telegram channel is a a step by step guide for everyone to start and succeed in crypto. Join now - https://t.me/+nOgsJLvh6aY1YmU6

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📈📉 CRYPTOCURRENCY INVESTING: TIPS FOR NAVIGATING THE WORLD OF BLOCKCHAIN TECHNOLOGY¦ 👇👇 https://t.me/Bitcoin_Crypto_Web/21

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EDA With Pandas.pdf0.94 KB

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Learning OpenCV 4 Computer Vision with Python Joe Minichino, 2020

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Python Libraries For Data Science

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Computer Fundamentals and Programming in C (RMK).pdf10.65 MB

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❗️Don't buy stocks, bonds or gold if you need your money. At this very moment, crypto market is set for a rally and you are risking to miss it. Boarding is about to finish – this is the last call. Follow reputable crypto traders like CRYPTON. This invite is limited to 20 users only, use it now – https://t.me/+lEaEppoDKmVmY2Y0

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📢 @Python_Learning Channel 🐍 Level up your Python skills with our Telegram channel! Valuable Python insights, tutorials, and community discussions. Let's learn and code together!

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LLM Models-1.pdf5.19 MB

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Deep Learning by MAGNUS EKMAN

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Like the post and share it with your friends so that it reaches more data aspirants 😄

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ChatGPT for Data Scientist 👇👇 https://www.linkedin.com/posts/sql-analysts_chatgpt-for-data-science-activity-7128583314378043393-kYzL

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Types of databases