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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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📈 Аналитический обзор Telegram-канала Data Science & Machine Learning

Канал Data Science & Machine Learning (@datasciencefun) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 75 820 подписчиков, занимая 2 110 место в категории Образование и 4 270 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 75 820 подписчиков.

Согласно последним данным от 19 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 855, а за последние 24 часа — 10, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.21%. В первые 24 часа после публикации контент обычно набирает 1.26% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 2 431 просмотров. В течение первых суток публикация набирает 953 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 3.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, accuracy, distribution, panda, dataset.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
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

Благодаря высокой частоте обновлений (последние данные получены 20 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Образование.

75 820
Подписчики
+1024 часа
+1447 дней
+85530 день
Архив постов
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To start with Machine Learning: 1. Learn Python 2. Practice using Google Colab Take these free courses: https://t.me/datasciencefun/290 If you need a bit more time before diving deeper, finish the Kaggle tutorials. At this point, you are ready to finish your first project: The Titanic Challenge on Kaggle. If Math is not your strong suit, don't worry. I don't recommend you spend too much time learning Math before writing code. Instead, learn the concepts on-demand: Find what you need when needed. From here, take the Machine Learning specialization in Coursera. It's more advanced, and it will stretch you out a bit. The top universities worldwide have published their Machine Learning and Deep Learning classes online. Here are some of them: https://t.me/datasciencefree/259 Many different books will help you. The attached image will give you an idea of my favorite ones. Finally, keep these three ideas in mind: 1. Start by working on solved problems so you can find help whenever you get stuck. 2. ChatGPT will help you make progress. Use it to summarize complex concepts and generate questions you can answer to practice. 3. Find a community on LinkedIn or 𝕏 and share your work. Ask questions, and help others. During this time, you'll deal with a lot. Sometimes, you will feel it's impossible to keep up with everything happening, and you'll be right. Here is the good news: Most people understand a tiny fraction of the world of Machine Learning. You don't need more to build a fantastic career in space. Focus on finding your path, and Write. More. Code. That's how you win.✌️✌️

Machine Learning for Decision Makers 👇👇 https://t.me/machinelearning_deeplearning/110

5 High-growth career paths in Tech: Tech careers in 2024 Discover the trends, skills, and opportunities that will define tech careers in 2024. 📆 Date: December 28th, 2023 🕒 Time:  8PM-10PM Free Registration Link: 👇👇 https://bit.ly/47clbV6 Don't miss out on this opportunity to elevate your Data Science career!  ENJOY LEARNING 👍👍

Python Real-world Projects 👇👇 https://t.me/pythonspecialist/105

Machine Learning Interview Questions

Data Science Cheatsheet.pdf6.15 KB

Data Science and Machine Learning.pdf20.05 MB

What are predictive algorithms in the context of the stock market? https://t.me/stockmarketingfun/277

Machine_Learning_Engineering_with_Python,_2nd_Edition_Andrew_P_McMahon.epub18.61 MB

STRONG PERSONALITIES HAVE THEIR PRINCIPLES I am telling you a must have trait if you want to build your personality. You must live with your STRONG PRINCIPLES! If you decided to not to smoke or drink, NEVER DO IT whatever the condition is. THIS IS YOUR PRINCIPLE. If you decided not to eat non-veg, then never do it. YOU CAN HAVE YOUR OWN STRONG PRINCIPLES IN LIFE! The thing that matter is to follow them no matter what the condition is!!!

Data Science & Machine Learning Project Discussions 👇👇 https://t.me/Kaggle_Group