Machine Learning with Python
Kanalga Telegram’da o‘tish
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Ko'proq ko'rsatish
📈 Telegram kanali Machine Learning with Python analitikasi
Machine Learning with Python (@codeprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 68 482 obunachidan iborat bo'lib, Taʼlim toifasida 2 406-o'rinni va Hindiston mintaqasida 4 586-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 68 482 obunachiga ega bo‘ldi.
04 Noyabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -75 ga, so‘nggi 24 soatda esa 7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 3.38% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.57% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 314 marta ko‘riladi; birinchi sutkada odatda 1 073 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 9 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent insidead, learning, degree, evaluation, algorithm kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 05 Noyabr, 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.
68 482
Obunachilar
+724 soatlar
-597 kun
-7530 kun
Postlar arxiv
Python Cheat Sheet for Beginners
Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.
⭕️ The best free data science learning courses
👨🏻💻 I want today I shared with you five of the best free data science learning courses that helped me become a successful data scientist and get a job at Google . 👇🏼
┌ 🏷 CS229: Machine Learning
└ ◼️ LINK
┌ 🏷 MIT: Linear Algebra
└ ◼️ LINK
┌ 🏷 MIT: Introduction to Algorithms
└ ◼️ LINK
┌ 🏷 MIT: Applied Probability
└ ◼️ LINK
┌ 🏷 Stanford: Relational Databases & SQL
└ ◼️ LINK
https://t.me/CodeProgrammer
More Likes, Share ❤️👍
🔥New #airdrop: daGama
First reward: 3000 USDT
Also join reward pool of 28 000 000 DAGAMA tokens!
Here is a casual Web 2.5 project representing true Mass Adoption! Can't it be true? Just try it out! MVP is coming out pretty soon!
daGama recommendation service is an app for everyone who wants to know where they can always find the best places to visit around a needed location! As we promote the post-to-earn model, you can expect more rewards for your good job with us!
🏆 Winners:
Top 1000 members with maximum XP points share 3,000 USDT
Distribution date: 31 Jan. 2024
Also join full reward pool of 28,000,000 DAGAMA tokens!
We expect a lot from our future Community 😏
What're you waiting for? Grab your prizes!
☀️ Airdrop Link: https://go.eu.hightouch.ai/BhBdWv
⚙️ How to Join?
♦️ Join their telegram bot: (https://go.eu.hightouch.ai/BhBdWv)
♦️ Complete quests (like, share, join telegram & discord, pass quiz, referral)
♦️ Earn more XP points to get maximum chance for reward.
Piri Wallet (Android crypto wallet)
The Piri Wallet is designed to allow you to manage your Pirichain assets, transfers and data transactions, purchase Piri, and instantly access the staking capabilities of a Pirichain system.
PIRIChain fetures:
- Low fee
- 10sec confirmations/blocks
- Windows OS Wallet (PIRI Hashes Generator)
- Open source on GitHub
- Staking
- Airdrops
- Node.JS codebase
#ad
Boost our channel and get free membership in our paid channel
https://t.me/DataScienceM?boost
Contact @hussein_sheikho
boost our channel to get more surprises
https://t.me/DataScienceM?boost
The first channel in the world of Telegram is dedicated to helping students and programmers of artificial intelligence, machine learning and data science in obtaining data sets for their research.
https://t.me/datasets1
Deep Learning with PyTorch Cheat Sheet
Learn everything you need to know about PyTorch in this convenient cheat sheet
PyTorch is an open-source machine learning library primarily developed by Facebook's AI Research Lab (FAIR). It is widely used for various machine learning and deep learning tasks, including neural network development, natural language processing (NLP), computer vision, and reinforcement learning. In this cheat sheet, learn all the fundamentals of working with PyTorch in one convenient location!
Download 👇👇👇
Get FREE TRX Using This BOT 🎉
🟢 This Bot Gives 15 TRX Per Referral
🟢 Bonus is Given Every 2 hours
🟢 Support is 24/7 online
#ad
🔅 Compress Images
from PIL import Image
in_img = 'input.png'
out_img = 'compressed.png'
# Open the image
with Image.open(in_img) as img:
# Save the compressed image
img.save(out_img, 'PNG', quality=80)
print(f"Image compressed successfully!")Get 30% OFF Top-Notch ClearVPN with code "Developers30" Today!
Your Benefits:
🌍 Explore global resources!
📱 Test app localization!
👀 Research your competitors!
🔒 Enhance your privacy & security!
🖧 Check network infrastructures!
🚀 Bypass ISP restrictions!
🌐 Access regional contents!
Save via this link ONLY! Hurry up, check if still available before 2024!
*Best for developers. Do not forget to paste "Developers30" promo code.
🔗 https://macpaw.audw.net/Developers30
Anyone who promotes our channel will receive a free subscription to our paid channel
https://t.me/DataScienceM?boost
Code Stars
Get ahead of the game with Code Stars! Our platform sends you notifications about the hottest GitHub repositories that are rapidly gaining popularity. Don't miss out - join us now and be the first to discover the trending repositories that everyone will be talking about soon!
Before the deep learning revolution redefined computer vision, Haar features and Haar cascades were the tools you must not ignore for object detection. Even today, they are very useful object detectors because they are lightweight. In this post, you will learn about the Haar cascade and how it can detect objects. After completing this post, you will know:
What is Haar features
How Haar cascade is using Haar features to detect objects
Some predefined Haar cascade object detectors in OpenCV
Let’s get started.
