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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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📈 Аналітичний огляд Telegram-каналу Data Science & Machine Learning

Канал Data Science & Machine Learning (@datasciencefun) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 75 822 підписників, посідаючи 2 109 місце в категорії Освіта та 4 254 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 75 822 підписників.

За останніми даними від 20 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 833, а за останні 24 години на 1, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 3.15%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.15% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 2 391 переглядів. Протягом першої доби публікація в середньому набирає 875 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 3.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як learning, accuracy, distribution, panda, dataset.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
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

Завдяки високій частоті оновлень (останні дані отримано 21 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

75 822
Підписники
+124 години
+1047 днів
+83330 день
Архів дописів
Artificial Intelligence with Python Cookbook (Ben Auffarth).epub13.42 MB

Educational Data Science: Essentials, Approaches, and Tendencies Alejandro Peña-Ayala, 2023

Data Science and Analytics Strategy Kailash Awati, 2023

Harvard University offers a ton of FREE online courses. From Computer Science to Artificial Intelligence. Here are 10 FREE courses you don't want to miss 1. Introduction to Computer Science An introduction to the intellectual enterprises of computer science and the art of programming. Check here 👇 https://pll.harvard.edu/course/cs50-introduction-computer-science?delta=0 2. Web Programming with Python and JavaScript This course takes you deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap. Check here 👇 https://pll.harvard.edu/course/cs50s-web-programming-python-and-javascript?delta=0 3. Introduction to Programming with Scratch A gentle introduction to programming that prepares you for subsequent courses in coding. Check here 👇 https://pll.harvard.edu/course/cs50s-introduction-programming-scratch?delta=0 4. Introduction to Programming with Python An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more. Check here 👇 https://edx.org/course/cs50s-introduction-to-programming-with-python 5. Understanding Technology This is CS50’s introduction to technology for students who don’t (yet!) consider themselves computer persons. Check here 👇 https://pll.harvard.edu/course/cs50s-understanding-technology-0?delta=0 6. Introduction to Artificial Intelligence with Python Learn to use machine learning in Python in this introductory course on artificial intelligence. Check here 👇 https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python?delta=0 7. Introduction to Game Development Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more. Check here 👇 https://pll.harvard.edu/course/cs50s-introduction-game-development?delta=0 8. CS50's Computer Science for Business Professionals This is CS50’s introduction to computer science for business professionals. Check here 👇 https://pll.harvard.edu/course/cs50s-computer-science-business-professionals-0?delta=0 9. Mobile App Development with React Native Learn about mobile app development with React Native, a popular framework maintained by Facebook that enables cross-platform native apps using JavaScript without Java or Swift. Check here 👇 https://pll.harvard.edu/course/cs50s-mobile-app-development-react-native?delta=0 10. Introduction to Data Science with Python Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data. Check here 👇 https://pll.harvard.edu/course/introduction-data-science-python?delta=0

Supervised vs Unsupervised Learning.pdf9.56 MB

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Ready to break into tech? Learn how to get a high-paying job as a UX Designer!🚀 The demand by tech companies for UX Design keeps increasing. Many of you might still be wondering, "UX Design?“ ⠀ UX Designers create enjoyable experiences for users interacting with digital tools (like websites or apps). They conduct user research and find elegant solutions, taking into account both user goals and business objectives. UX Design is a straightforward task! 👌 No experience required  👌 No need to learn coding or programming! 👌 We’ll teach you all you need to know to get, do and keep the job of UX Design. 🔗 Follow the link  to get: ✅  Your first FREE lesson  ✅  Special offer ✅  Certificate and money-back guarantee See you May 4th at our online class!

Interpretability in Deep Learning Ayush Somani, 2023

Check out Chadview 🎉 It’s a ChatGPT-powered copilot for Job Interviews, Technical Sales, and Voice support. Extension listen
Check out Chadview 🎉 It’s a ChatGPT-powered copilot for Job Interviews, Technical Sales, and Voice support. Extension listens to your Zoom, Google Meet, and Teams calls in real-time and answers any questions instantly. They give a 15-minute free trial, which you can use to practice on a Zoom call or on any interview on YouTube. Then they charge a small fee $5 for every 30 minutes. ⏱💰🎉 #ad

Machine Learning for Everyone.pdf5.37 MB

Python and R for the Modern Data Scientist Rick Scavetta, 2021

Cheatsheet on Numpy and pandas for easy viewing 👀

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Python and Data Science Tips!! .pdf55.23 MB

FREE DATASET BUILDING YOUR PORTFOLIO ⭐ 1. Supermarket Sales - https://lnkd.in/e86UpCMv 2.Credit Card Fraud Detection - https://lnkd.in/eFTsZDCW 3. FIFA 22 complete player dataset - https://lnkd.in/eDScdUUM 4. Walmart Store Sales Forecasting - https://lnkd.in/eVT6h-CT 5. Netflix Movies and TV Shows - https://lnkd.in/eZ3cduwK 6.LinkedIn Data Analyst jobs listings - https://lnkd.in/ezqxcmrE 7. Top 50 Fast-Food Chains in USA - https://lnkd.in/esBjf5u4 8. Amazon and Best Buy Electronics - https://lnkd.in/e4fBZvJ3 9. Forecasting Book Sales - https://lnkd.in/eXHN2XsQ 10. Real / Fake Job Posting Prediction - https://lnkd.in/e5SDDW9G

Amazing Hackthon Solved Data Science/ML Project Collection ⭐️ 167 https://github.com/analyticsindiamagazine/MachineHack/tree/master/Hackathon_Solutions 𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚 👍👍

machine-learning-interview-questions.pdf2.11 KB

1. What is the Difference Between a Shallow Copy and Deep Copy in python? Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy. copy.deepcopy() creates a Deep Copy. Shallow copy creates a different object and populates it with the references of the child objects within the original object. Therefore, changes in the original object are reflected in the copy. copy.copy creates a Shallow Copy. 2. How can you remove duplicate values in a range of cells? 1. To delete duplicate values in a column, select the highlighted cells, and press the delete button. After deleting the values, go to the ‘Conditional Formatting’ option present in the Home tab. Choose ‘Clear Rules’ to remove the rules from the sheet. 2. You can also delete duplicate values by selecting the ‘Remove Duplicates’ option under Data Tools present in the Data tab. 3. Define shelves and sets in Tableau? Shelves: Every worksheet in Tableau will have shelves such as columns, rows, marks, filters, pages, and more. By placing filters on shelves we can build our own visualization structure. We can control the marks by including or excluding data. Sets: The sets are used to compute a condition on which the dataset will be prepared. Data will be grouped together based on a condition. Fields which is responsible for grouping are known assets. For example – students having grades of more than 70%. 4. Given a table Employee having columns empName and empId, what will be the result of the SQL query below? select empName from Employee order by 2 asc; “Order by 2” is valid when there are at least 2 columns used in SELECT statement. Here this query will throw error because only one column is used in the SELECT statement. ENJOY LEARNING 👍👍

This is your chance to invest in your future! Our elite course worth INR 80000 is available for just 99 per year - but only f
This is your chance to invest in your future! Our elite course worth INR 80000 is available for just 99 per year - but only for a limited time. Register now and secure your spot! https://www.edyoda.com/register?aff=9

Supervised vs Unsupervised Learning.pdf9.56 MB

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Machine Learning for High-Risk Applications Patrick Hall, 2023