Уже доступно! Исследование Telegram 2025 — ключевые инсайты года 
Data Science & Machine Learning
Открыть в Telegram
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
Больше📈 Аналитический обзор Telegram-канала Data Science & Machine Learning
Канал Data Science & Machine Learning (@datasciencefun) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 75 816 подписчиков, занимая 2 113 место в категории Образование и 4 286 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 75 816 подписчиков.
Согласно последним данным от 18 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 884, а за последние 24 часа — 6, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.25%. В первые 24 часа после публикации контент обычно набирает 1.38% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 462 просмотров. В течение первых суток публикация набирает 1 043 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 4.
- 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 19 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.
75 816
Подписчики
+624 часа
+1657 дней
+88430 день
Архив постов
3 Data Science Free courses by Microsoft🔥🔥
1. AI For Beginners - https://microsoft.github.io/AI-For-Beginners/
2. ML For Beginners - https://microsoft.github.io/ML-For-Beginners/#/
3. Data Science For Beginners - https://github.com/microsoft/Data-Science-For-Beginners
Join for more: https://t.me/udacityfreecourse
Essential statistics topics for data science
1. Descriptive statistics: Measures of central tendency, measures of dispersion, and graphical representations of data.
2. Inferential statistics: Hypothesis testing, confidence intervals, and regression analysis.
3. Probability theory: Concepts of probability, random variables, and probability distributions.
4. Sampling techniques: Simple random sampling, stratified sampling, and cluster sampling.
5. Statistical modeling: Linear regression, logistic regression, and time series analysis.
6. Machine learning algorithms: Supervised learning, unsupervised learning, and reinforcement learning.
7. Bayesian statistics: Bayesian inference, Bayesian networks, and Markov chain Monte Carlo methods.
8. Data visualization: Techniques for visualizing data and communicating insights effectively.
9. Experimental design: Designing experiments, analyzing experimental data, and interpreting results.
10. Big data analytics: Handling large volumes of data using tools like Hadoop, Spark, and SQL.
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://t.me/datasciencefun
Like if you need similar content 😄👍
This AI follows your fantasies 🍓💦
BDSM with a shy roommate or a blowjob from the devil herself? Sex GPT is designed for your pleasure.
Play now https://t.me/luciddreams_bot?start=tu13
Learning data science in 2024 will likely involve a combination of traditional educational methods and newer, more innovative approaches.
Here are some steps you can take to learn data science in 2024:
1. Enroll in a data science program: Consider enrolling in a data science program at a university or online platform. Look for programs that cover topics such as machine learning, statistical analysis, and data visualization. I will recommend the subscription by 365datascience which update content as per latest requirements.
2. Take online courses: There are many online platforms that offer data science courses, such as Udacity, Udemy, and DataCamp. These courses can help you learn specific skills and techniques in data science.
3. Participate in data science competitions: Participating in data science competitions, such as those hosted on Kaggle, can help you apply your skills to real-world problems and learn from other data scientists.
4. Join data science communities: Joining data science communities, such as forums, meetups, or social media groups, can help you connect with other data scientists and learn from their experiences.
5. Stay updated on industry trends: Data science is a rapidly evolving field, so it's important to stay updated on the latest trends and technologies. Follow blogs, podcasts, and industry publications to keep up with the latest developments in data science.
6. Build a portfolio: As you learn data science skills, be sure to build a portfolio of projects that showcase your abilities. This can help you demonstrate your skills to potential employers or clients.
ENJOY LEARNING 👍👍
Thanks for the amazing response. I added few more essential data science resources in "Projects" Folder today.
ENJOY LEARNING 👍👍
📢 Calling All Developers to talk with Founder from IIT Delhi to discover the future of Coding 📢
Are you ready to supercharge your productivity and take your coding skills to the next level? 🚀
Event Details:
Date : 9th May 2024
Time : 9:00 PM to 10:00 PM
Register for free: https://www.buildfastwithai.com/events/10x-developer-productivity-with-ai
Connect with Founder: https://www.linkedin.com/in/satvik-paramkusham/
This event is especially designed for people interested in Data Science, Data Analysis, GenAI and LLM.
Planning for Data engineering Interview.
Focus on SQL & Python first. Here are some important questions which you should know.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐒𝐐𝐋 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
1- Find out nth Order/Salary from the tables.
2- Find the no of output records in each join from given Table 1 & Table 2
3- YOY,MOM Growth related questions.
4- Find out Employee ,Manager Hierarchy (Self join related question) or
Employees who are earning more than managers.
5- RANK,DENSERANK related questions
6- Some row level scanning medium to complex questions using CTE or recursive CTE, like (Missing no /Missing Item from the list etc.)
7- No of matches played by every team or Source to Destination flight combination using CROSS JOIN.
8-Use window functions to perform advanced analytical tasks, such as calculating moving averages or detecting outliers.
9- Implement logic to handle hierarchical data, such as finding all descendants of a given node in a tree structure.
10-Identify and remove duplicate records from a table.
𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 𝐏𝐲𝐭𝐡𝐨𝐧 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬
1- Reversing a String using an Extended Slicing techniques.
2- Count Vowels from Given words .
3- Find the highest occurrences of each word from string and sort them in order.
4- Remove Duplicates from List.
5-Sort a List without using Sort keyword.
6-Find the pair of numbers in this list whose sum is n no.
7-Find the max and min no in the list without using inbuilt functions.
8-Calculate the Intersection of Two Lists without using Built-in Functions
9-Write Python code to make API requests to a public API (e.g., weather API) and process the JSON response.
10-Implement a function to fetch data from a database table, perform data manipulation, and update the database.
They predicted yesterday the DUMP of Bitcoin
Already in the channel published the dates of the next BTC PUMP!
Click 👉 CHECK NEXT PUMP DATES 👈
Click 👉 CHECK NEXT PUMP DATES 👈
Click 👉 CHECK NEXT PUMP DATES 👈
JOIN FAST! Only the first 1000 people will be accepted! 🔥
Machine learning is a subset of artificial intelligence that involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data. In machine learning, computers are trained on large datasets to identify patterns, relationships, and trends without being explicitly programmed to do so.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. In supervised learning, the algorithm is trained on labeled data, where the correct output is provided along with the input data. Unsupervised learning involves training the algorithm on unlabeled data, allowing it to identify patterns and relationships on its own. Reinforcement learning involves training an algorithm to make decisions by rewarding or punishing it based on its actions.
Machine learning algorithms can be used for a wide range of applications, including image and speech recognition, natural language processing, recommendation systems, predictive analytics, and more. These algorithms can be trained using various techniques such as neural networks, decision trees, support vector machines, and clustering algorithms.
Join for more: t.me/datasciencefun
🔥$BCCoins Performance
✅ 11x in 11 days
✅ 22x in 22 days
✅ 33x in 33 days
🔜 44x to come
👀 Don't miss it🚀🚀🚀
https://tglink.io/266d7fae3edf
🤩 Quick Roadmaps to Learn 🤩
❤️ Javascript
https://roadmap.sh/javascript
❤️ Data Science
https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp
❤️ Frontend development
https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1
❤️ Data Analyst Roadmap
https://t.me/sqlspecialist/379
❤️ AI/ML
https://i.am.ai/roadmap
🚀There is news that a young guy together with a team of the best programmers in Europe, invented a unique way to earn money, thanks to which everyone can earn from 300 dollars a day, having only a smartphone. 🔥 Together they created a Telegram channel, a closed community, where they tell about their strategy. Training is fast and easy, absolutely everyone will master it, you do not need special skills and knowledge. 👌The creator of the channel told us that he earns from 1000 dollars a day and it is absolutely real and available to everyone. He was able to change his life, drives expensive cars, travels, buys himself anything he wants and he assures that he can help to reach a high income to all those in need. ☄️Now there is a new recruitment for training in the team, all you need to do is to subscribe to his Telegram channel, hurry up, the number of places is limited.
👉 https://t.me/+kA13cOZrpz4wNzI1
