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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Python Machine Learning .pdf1.42 MB

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50 SQL Interview questions

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Comment "Excel" to get this excel step by step guide 👇 https://www.instagram.com/reel/C2h2GJDtU0q/?igsh=MThzenYyaGh1OHE2YQ==

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Data Science Interview Preparation Book 👇👇 https://www.instagram.com/reel/C2fN6c7Nb_G/?igsh=ZzUzZ2lmOWhxY2c5

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https://www.linkedin.com/posts/sqlspecialist_sql-cheatsheet-activity-7155781844007870464-N3pq?utm_source=share&utm_medium=member_android

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Learn Coding Directly from Someone Who Has Cracked Google! Register now : https://bit.ly/3vQTCUe Date : 24th Jan - 31st Jan | 8 -10 PM

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Data Science Career Opportunity: High chances of getting job referrals to students who register in this. 🎤 Led by Saket Dwivedi, Lead Data Scientist at Masai 📅 Date: 24th January | ⏰ Time: 8 PM 🛠 Practical insights and essentials of Data Science Register here - https://bit.ly/48YbQl6 https://bit.ly/48YbQl6 Register and share among others friends ✅ Must Register as this is free of cost for the first time

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Data Science Interview Preparation 👇👇 https://www.linkedin.com/posts/sql-analysts_datascience-dataanalytics-data-activity-7154514626787848192-BYVD?utm_source=share&utm_medium=member_android

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Here are 5 fresh Project ideas for Data Analysts 👇 https://t.me/DataPortfolio/25

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Statistics For Data Science

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SQL Project Handbook 👇👇 https://www.linkedin.com/posts/sql-analysts_sql-datascience-course-activity-7153775960985632769-RU6v?utm_source=share&utm_medium=member_android

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Exciting News! MaxSwap, the leading cryptocurrencies platform, has just introduced a groundbreaking feature that allows users to buy crypto using fiat directly on MaxSwap platform! Try now - https://maxswap.cc/NvqQXLkh *Later this month will be available in Telegram Bot ! #MaxSwapUpdates In connection with the connection of fiat on our platform we are holding a drawing of 400 usdt in our Telegram channel. Good luck TgBot | Website | Twitter | Discord | Facebook | Instagram | Telegram Channel

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SQL for Data Analysis Автор: Cathy Tanimura

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Repost from Data Science & Machine Learning

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Python for Data Science -1.pdf7.57 MB

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Large English learning resources collection 👇👇 https://t.me/englishlearnerspro/111

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Preparing for a data science interview can be challenging, but with the right approach, you can increase your chances of success. Here are some tips to help you prepare for your next data science interview: 👉 1. Review the Fundamentals: Make sure you have a thorough understanding of the fundamentals of statistics, probability, and linear algebra. You should also be familiar with data structures, algorithms, and programming languages like Python, R, and SQL. 👉 2. Brush up on Machine Learning: Machine learning is a key aspect of data science. Make sure you have a solid understanding of different types of machine learning algorithms like supervised, unsupervised, and reinforcement learning. 👉 3. Practice Coding: Practice coding questions related to data structures, algorithms, and data science problems. You can use online resources like HackerRank, LeetCode, and Kaggle to practice. 👉 4. Build a Portfolio: Create a portfolio of projects that demonstrate your data science skills. This can include data cleaning, data wrangling, exploratory data analysis, and machine learning projects. 👉 5. Practice Communication: Data scientists are expected to effectively communicate complex technical concepts to non-technical stakeholders. Practice explaining your projects and technical concepts in simple terms. 👉 6. Research the Company: Research the company you are interviewing with and their industry. Understand how they use data and what data science problems they are trying to solve. By following these tips, you can be well-prepared for your next data science interview. Good luck!