Endi mavjud! Telegram Tadqiqoti 2025 — yilning asosiy insaytlari 
Data Science & Machine Learning
Kanalga Telegram’da o‘tish
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
Ko'proq ko'rsatish📈 Telegram kanali Data Science & Machine Learning analitikasi
Data Science & Machine Learning (@datasciencefun) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 75 816 obunachidan iborat bo'lib, Taʼlim toifasida 2 113-o'rinni va Hindiston mintaqasida 4 286-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 75 816 obunachiga ega bo‘ldi.
18 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 884 ga, so‘nggi 24 soatda esa 6 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 3.25% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.38% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 462 marta ko‘riladi; birinchi sutkada odatda 1 043 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 4 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent learning, accuracy, distribution, panda, dataset kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“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”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 19 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.
75 816
Obunachilar
+624 soatlar
+1657 kunlar
+88430 kunlar
Postlar arxiv
Additional Resources To Assist Research
https://www.reddit.com/r/MachineLearning/
• https://www.reddit.com/r/deeplearning/
• https://paperswithcode.com/
• https://www.datasimplifier.com/
• https://papers.nips.cc/
• https://icml.cc/
• https://iclr.cc/
• https://www.researchgate.net/
ENJOY LEARNING 👍👍
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Register now and secure your spot! 📊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
Want to learn Data Analytics by practicing SQL or Python on your Phone??
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Special Python Cheatsheets Giveaway
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https://www.linkedin.com/posts/sql-analysts_python-pythonprogramming-pythoncoding-activity-7146378813944356864-91eq?utm_source=share&utm_medium=member_android
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Don't miss out on this opportunity to elevate your Data Science career!
ENJOY LEARNING 👍👍
Python Real-world Projects
👇👇
https://t.me/pythonspecialist/105
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
Repost from Startup & Business Ideas
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
