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Machine Learning & Artificial Intelligence | Data Science Free Courses

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 2 441 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 26 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 509, y en las últimas 24 horas de 13, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.81%. 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 539 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 4.
  • 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 27 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
+1324 horas
+1057 días
+50930 días
Archivo de publicaciones
+1
SQL Basics For Beginners ✅

Learning Python Network Programming 📚 book
Learning Python Network Programming 📚 book

Unleash the Power of Crypto. Looking to dive into the captivating world of crypto currencies, Expert Analysis, Educational Co
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+1
Python beginner guide for Data Science .pdf5.74 MB

"Master in-demand skills @₹99/year Don't miss out on this once-in-a-lifetime opportunity. 🔥 Get access to 150+ Top Certifica
"Master in-demand skills @₹99/year Don't miss out on this once-in-a-lifetime opportunity. 🔥 Get access to 150+ Top Certification Courses and Job @ ₹99/year 🤑 Apply here: https://bit.ly/3OGOVE8 💯 Python 💯 Django 💯 Web Development 💯 Artificial Intelligence 💯 Machine Learning 💯 AWS 💯 Interview Preparation & more premium courses ...and many more Offer ending soon⌛"

Data scientist salary data by industry
Data scientist salary data by industry

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🚦Top 10 Data Science Tools🚦 Here we will examine the top best Data Science tools that are utilized generally by data researchers and analysts. But prior to beginning let us discuss about what is Data Science. 🛰What is Data Science ? Data science is a quickly developing field that includes the utilization of logical strategies, calculations, and frameworks to extract experiences and information from organized and unstructured data . 🗽Top Data Science Tools that are normally utilized : 1.) Jupyter Notebook : Jupyter Notebook is an open-source web application that permits clients to make and share archives that contain live code, conditions, representations, and narrative text . 2.) Keras : Keras is a famous open-source brain network library utilized in data science. It is known for its usability and adaptability. Keras provides a range of tools and techniques for dealing with common data science problems, such as overfitting, underfitting, and regularization. 3.) PyTorch : PyTorch is one more famous open-source AI library utilized in information science. PyTorch also offers easy-to-use interfaces for various tasks such as data loading, model building, training, and deployment, making it accessible to beginners as well as experts in the field of machine learning. 4.) TensorFlow : TensorFlow allows data researchers to play out an extensive variety of AI errands, for example, image recognition , natural language processing , and deep learning. 5.) Spark : Spark allows data researchers to perform data processing tasks like data control, investigation, and machine learning , rapidly and effectively. 6.) Hadoop : Hadoop provides a distributed file system (HDFS) and a distributed processing framework (MapReduce) that permits data researchers to handle enormous datasets rapidly. 7.) Tableau : Tableau is a strong data representation tool that permits data researchers to make intuitive dashboards and perceptions. Tableau allows users to combine multiple charts. 8.) SQL : SQL (Structured Query Language) SQL permits data researchers to perform complex queries , join tables, and aggregate data, making it simple to extricate bits of knowledge from enormous datasets. It is a powerful tool for data management, especially for large datasets. 9.) Power BI : Power BI is a business examination tool that conveys experiences and permits clients to make intuitive representations and reports without any problem. 10.) Excel : Excel is a spreadsheet program that broadly utilized in data science. It is an amazing asset for information the board, examination, and visualization .Excel can be used to explore the data by creating pivot tables, histograms, scatterplots, and other types of visualizations.

Data Science Cheatsheet Compiled by Maverick Lin.pdf1.06 MB

20 AI Tools Students should know: 1. http://perplexity.ai → Research Assistant 2. http://hissab.io → Calculate Anything 3. http://otter.ai → Automate Lecture Notes 4. http://stepwisemath.ai → Math Tutor 5. http://scholarcy.com → Article Summarizer 6. http://caktus.ai → Study Tool 7. http://bookai.chat → Chat with Books 8. http://chatdoc.com → Chat with Documents 9. http://textero.ai → Essay Generator 10. http://jenni.ai → Write Research Papers 11. http://tome.app → Presentation Generator 12. http://plaito.ai → Personal Tutor 13. http://heyscience.ai → Scientific Research Assistant 14. http://wisdolia.com → Flashcard Generator 15. http://duolingo.com → Learn a Language 16. http://knowji.com → Learn Vocabulary 17. http://quillbot.com → Grammar Checker 18. http://consensus.app → Evidence-Based Answers 19. http://knewton.com → Adaptive Learning 20. http://grammarly.com → Plagiarism Checker

20 AI Tools Students should know: 1. http://perplexity.ai → Research Assistant 2. http://hissab.io → Calculate Anything 3. http://otter.ai → Automate Lecture Notes 4. http://stepwisemath.ai → Math Tutor 5. http://scholarcy.com → Article Summarizer 6. http://caktus.ai → Study Tool 7. http://bookai.chat → Chat with Books 8. http://chatdoc.com → Chat with Documents 9. http://textero.ai → Essay Generator 10. http://jenni.ai → Write Research Papers 11. http://tome.app → Presentation Generator 12. http://plaito.ai → Personal Tutor 13. http://heyscience.ai → Scientific Research Assistant 14. http://wisdolia.com → Flashcard Generator 15. http://duolingo.com → Learn a Language 16. http://knowji.com → Learn Vocabulary 17. http://quillbot.com → Grammar Checker 18. http://consensus.app → Evidence-Based Answers 19. http://knewton.com → Adaptive Learning 20. http://grammarly.com → Plagiarism Checker

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