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Data Science & Machine Learning

Data Science & Machine Learning

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Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data

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Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertRed:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertIndia4 204Educación2 103

📈 Análisis del canal de Telegram Data Science & Machine Learning

El canal Data Science & Machine Learning (@datasciencefun) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 75 933 suscriptores, ocupando la posición 2 103 en la categoría Educación y el puesto 4 204 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 75 933 suscriptores.

Según los últimos datos del 23 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 731, y en las últimas 24 horas de 33, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.95%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.86% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 2 239 visualizaciones. En el primer día suele acumular 650 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 learning, accuracy, distribution, panda, dataset.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Join this channel to learn data science, artificial intelligence and machine learning with funny quizzes, interesting projects and amazing resources for free For collaborations: @love_data”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 24 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.

75 933
Suscriptores
+3324 horas
+587 días
+73130 días
Archivo de publicaciones
Data Science & Machine Learning
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Udacity(udacity.com) courses collections Udacity's Android Basics Nanodegree Download Link- https://mega.nz/folder/nDgXkaob#5LPk0Hpz4HgZ7njcvyNmqw @datasciencefun Udacity's Machine Learning Engineer Nanodegree Download Link- https://mega.nz/folder/qX5BWKDD#s6JadsuGzsyELin6zYfU8Q @datasciencefun Udacity's Blockchain Nanodegree Download Link- https://mega.nz/folder/HD43EKTL#jcAo2OvAjEQmi0SqHELuyA Udacity's Data Analyst Nanodegree Download Link- https://mega.nz/folder/GbgnkCaR#gQodlI6pEkoKGIaqDhuCUg

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If the resources shared in the channel are helpful to you guys, then share this channel link with your friends and WhatsApp groups 👇👇 http://t.me/datasciencefun We will try to come up with more amazing content related to data science and machine Learning

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🔶Python for Data Science and Machine Learning Bootcamp 🔶 Udemy link: https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/ 🟥 3.2 GB Download link: https://drive.google.com/file/d/1vtJoDrZq4rd9ka7DZF20vqg7iB7u8lW4/view

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🔰Python Cheat Sheet for all Programmers🔰 Top 15 Cheat Sheets for Machine Learning, Data Science & Big Data 🖇Link : https://anonfiles.com/zcLcO0G5oc/Python_Top_15_Cheat_Sheets_for_Machine_Learning_Data_Science_Big_Data_rar Share and support us

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Which of the following is an important library or framework for data visualization using PYTHON? [Not Machine learning]
Anonymous voting

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Data science Tools
Data science Tools

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Building the Machine Learning Model
Building the Machine Learning Model

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Which step is done just after collecting data?
Anonymous voting

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Do you want more books recommendations?
Anonymous voting

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Hello guys, if you are a beginner in data science and want to learn it from scratch. Then, there is a good news for you. Currently Amazon is providing 77% off on this data science book Highly recommend if you are beginner in data science Purchase it before the price increases https://bit.ly/30j72GI Flipkart is selling the same book for rs. 2500 https://bit.ly/39K2pIJ Enjoy learning 👍

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👩🏻‍💻 Why should one study Linear Algebra for ML? 👉🏼 Clearly, to develop a better intuition for machine learning and deep learning algorithms and not treat them as black boxes. This would allow you to choose proper hyper-parameters and develop a better model. You would also be able to code algorithms from scratch and make your own variations to them as well. 👉🏼 Learn Linear Algebra for Machine Learning with: Khan Academy: https://www.khanacademy.org/math/linear-algebra Udacity: https://www.udacity.com/course/linear-algebra-refresher-course--ud953 Coursera: https://www.coursera.org/learn/linear-algebra-machine-learning Here are some amazing freely available ebooks on the same topic: Mathematics for Machine Learning: https://mml-book.github.io/book/mml-book.pdf An Introduction to Statistical Learning: https://faculty.marshall.usc.edu/gareth-james/ISL/ Happy machine learning! 🎉

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Pingzee Technologies Pvt. Ltd. is hiring Data Science interns on Dockship. Pingzee provides a cloud-based infrastructure to simplify the real-time data engineering to help in building fast, secure and highly scalable real-time solutions. Participate in Sales Forecasting and EDA Challenge and get a chance to be interviewed for this position. Only limited slots are available. Apply Now: https://bit.ly/309rREi