Machine Learning & Artificial Intelligence | Data Science Free Courses

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Machine Learning & Artificial Intelligence | Data Science Free Courses (@datasciencefree) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 66 657 obunachidan iborat bo'lib, Taʼlim toifasida 2 465-o'rinni va Malayziya mintaqasida 432-o'rinni egallagan.

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невідомо sanasidan buyon loyiha tez o‘sib, 66 657 obunachiga ega bo‘ldi.

21 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 571 ga, so‘nggi 24 soatda esa 2 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 0.92% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.79% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 612 marta ko‘riladi; birinchi sutkada odatda 524 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
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“Perfect channel to learn Data Analytics, Data Sciene, Machine Learning & Artificial Intelligence Admin: @coderfun”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 22 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

66 657

Obunachilar

+224 soatlar

+417 kunlar

+57130 kunlar

612

Post ko'rishlar

~ 52424 soatlar

~ 74548 soatlar

0.92%

Muloqot nisbati

~ 2

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Postlar arxiv

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Official Python Docs https://docs.python.org/3/ Tools: http://docs.python-guide.org/en/latest/dev/virtualenvs/ http://www.pythonforbeginners.com/basics/python-pip-usage Practice: http://www.practicepython.org/ https://www.hackerrank.com https://wiki.python.org/moin/PythonDecorators Python GUI FAQ https://docs.python.org/3/faq/gui.html

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𝗧𝗼𝗽 𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝗧𝗼𝗱𝗮𝘆!😍 In today’s fast-paced tech industry, staying ahead requires continuous learning and upskilling✨️ Fortunately, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 is offering 𝗳𝗿𝗲𝗲 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 that can help beginners and professionals enhance their 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝗱𝗮𝘁𝗮, 𝗔𝗜, 𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 without spending a dime!⬇️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DwqJRt Start a career in tech, boost your resume, or improve your data skills✅️

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Data Science Roadmap

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𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗶𝗢𝗡 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀!😍 Looking to boost your career with free online courses? 🎓 TCS iON, a leading digital learning platform from Tata Consultancy Services (TCS), offers a variety of free courses across multiple domains!📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Dc0K1S Start learning today and take your career to the next level!✅️

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🔗 Become a Machine Learning Expert in 7 Steps

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Repost from Python Projects & Free Books

⌨️ Python Tips & Tricks

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𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝘄𝗶𝘁𝗵 𝗧𝗵𝗶𝘀 𝗙𝗿𝗲𝗲 𝗢𝗿𝗮𝗰𝗹𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵!😍 Want to start a career in Data Science but don’t know where to begin?👋 Oracle is offering a 𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵 to help you master the essential skills needed to become a 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Dka1ow Start your journey today and become a certified Data Science Professional!✅️

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Preparing for a machine learning interview as a data analyst is a great step. Here are some common machine learning interview questions :- 1. Explain the steps involved in a machine learning project lifecycle. 2. What is the difference between supervised and unsupervised learning? Give examples of each. 3. What evaluation metrics would you use to assess the performance of a regression model? 4. What is overfitting and how can you prevent it? 5. Describe the bias-variance tradeoff. 6. What is cross-validation, and why is it important in machine learning? 7. What are some feature selection techniques you are familiar with? 8.What are the assumptions of linear regression? 9. How does regularization help in linear models? 10. Explain the difference between classification and regression. 11. What are some common algorithms used for dimensionality reduction? 12. Describe how a decision tree works. 13. What are ensemble methods, and why are they useful? 14. How do you handle missing or corrupted data in a dataset? 15. What are the different kernels used in Support Vector Machines (SVM)? These questions cover a range of fundamental concepts and techniques in machine learning that are important for a data scientist role. Good luck with your interview preparation! Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 Like if you need similar content 😄👍

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Data Scientist vs Data Analyst 👆

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𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱!😍 Want to upgrade your tech & data skills without spending a penny?🔥 These 𝗙𝗥𝗘𝗘 courses will help you master 𝗘𝘅𝗰𝗲𝗹, 𝗔𝗜, 𝗖 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴, & 𝗣𝘆𝘁𝗵𝗼𝗻 Interview Prep!📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4ividkN Start learning today & take your career to the next level!✅️

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Machine learning algorithms

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𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗲𝘀!😍 Want to boost your skills with industry-recognized certifications?📄 Microsoft is offering free courses that can help you advance your career! 💼🔥 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3QJGGGX 🚀 Start learning today and enhance your resume!

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An high level overview for becoming a machine learning engineer