Machine Learning with Python
Open in Telegram
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho
Show more
Network:📈 Analytical overview of Telegram channel Machine Learning with Python
Channel Machine Learning with Python (@codeprogrammer) in the English language segment is an active participant. Currently, the community unites 68 566 subscribers, ranking 2 405 in the Education category and 4 691 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 566 subscribers.
According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 211 over the last 30 days and by -16 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.52%. Within the first 24 hours after publication, content typically collects 1.51% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 414 views. Within the first day, a publication typically gains 1 035 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
- Thematic interests: Content is focused on key topics such as insidead, learning, degree, evaluation, algorithm.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikho”
Thanks to the high frequency of updates (latest data received on 27 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
68 566
Subscribers
-1624 hours
-507 days
+21130 days
Posts Archive
The first bot in the world of Telegram that offers free courses, free certificates. https://t.me/UdemySybot
Repost from Udemy Free
Python for Machine Learning: The Complete Beginner's Course
Learn to create machine learning algorithms in Python for students and professionals…
🏷 Category: development
🌍 Language: English (US)
👥 Students: 140,381 students
⭐️ Rating: 3.9/5.0 (1,402 reviews)
🏃♂️ Enrollments Left: 4
⏳ Expires In: 0D:28H:28M
💰 Price: $120,000, ⟹ FREE
🆔 Coupon:
LEVELUP30JL
⚠️ Watch 2 short ads to unlock your free access.
💎 By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScienceRepost from Udemy Free
🔔 Still Available!
Certified Deep Learning with Neural Networks
Deep Learning & Neural Networks: Master CNNs, RNNs, Transformers, and prepare for industry certification using PyTorch…
🌍 Language: English (US)
👥 Students: 3,314 students
⭐️ Rating: 2.0/5.0 (2 reviews)
🏃♂️ Enrollments Left: 37
⏳ Expires In: 0D:30H:30M
💰 Price: $9.59 ⟹ FREE
🆔 Coupon:
0351785337C8A1DF7B54
⚠️ Watch 2 short ads to unlock your free access.
💎 By: https://t.me/Udemy26
#FreeCourse #Udemy #OnlineLearning #EducationRepost from Udemy Free
Certified Deep Learning with Neural Networks
Deep Learning & Neural Networks: Master CNNs, RNNs, Transformers, and prepare for industry certification using PyTorch…
🏷 Category: it-and-software
🌍 Language: English (US)
👥 Students: 3,314 students
⭐️ Rating: 2.0/5.0 (2 reviews)
🏃♂️ Enrollments Left: 79
⏳ Expires In: 0D:30H:30M
💰 Price: $9.59 ⟹ FREE
🆔 Coupon:
0351785337C8A1DF7B54
⚠️ Watch 2 short ads to unlock your free access.
💎 By: https://t.me/Udemy26
#FreeCourse #Udemy #OnlineLearning #EducationRepost from Udemy Free
Python for Scientific Research
Master Python for Scientific Research with Practical Examples…
🏷 Category: it-and-software
🌍 Language: English (US)
👥 Students: 44,999 students
⭐️ Rating: 4.4/5.0 (315 reviews)
🏃♂️ Enrollments Left: 98
⏳ Expires In: 0D:30H:30M
💰 Price: $24.71 ⟹ FREE
🆔 Coupon:
23182B224407CB93B374
⚠️ Watch 2 short ads to unlock your free access.
💎 By: https://t.me/Udemy26
#Python #DataScience #Automation #FreeCourse #Udemy #OnlineLearningRepost from Udemy Free
Python for AI and Machine Learning
Master Python for Artificial Intelligence and Machine Learning with TensorFlow, PyTorch, and Scikit-Learn.…
🏷 Category: development
🌍 Language: English (US)
👥 Students: 13,712 students
⭐️ Rating: 3.7/5.0 (188 reviews)
🏃♂️ Enrollments Left: 94
⏳ Expires In: 0D:30H:30M
💰 Price: $9.59 ⟹ FREE
🆔 Coupon:
4D8D68A3B11C69AB1DB4
⚠️ Watch 2 short ads to unlock your free access.
💎 By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScienceRepost from Udemy Free
Python Practice Tests & Interview Questions (Basic/Advanced)
Complete Python Guide via Practice Tests. Pass the Python Certification Exam today & Get your dream job as a Python Dev.…
🏷 Category: development
🌍 Language: English (US)
👥 Students: 46,958 students
⭐️ Rating: 4.1/5.0 (114 reviews)
🏃♂️ Enrollments Left: 44
⏳ Expires In: 0D:27H:27M
💰 Price: $120 ⟹ FREE
🆔 Coupon:
25BBPMXNVD35
⚠️ Watch 2 short ads to unlock your free access.
💎 By: https://t.me/Udemy26
#Programming #Coding #Development #Tech #Python #DataScienceFree access to our premium channel
https://t.me/adzlybot?startapp=TaE5q
Repost from Machine Learning
🔖 Over 300 real-world case studies of ML systems from top companies. 🤖
We found a repository that collects genuine ML engineering experience – not theory from textbooks, but real stories of implementing models in production. 📚
Inside, you'll find case studies from Uber, Netflix, Google, and other companies: how they built the architecture, what problems arose, where the systems failed, and what solutions helped them recover. 🏗️
⛓ Link to GitHub
https://github.com/Engineer1999/A-Curated-List-of-ML-System-Design-Case-Studies
#MachineLearning #MLCaseStudies #DataScience #Engineering #Uber #Netflix
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
U-Net by hand ✍️ ~ 17 steps walkthrough below
I consider U-Net as a key milestone in deep learning, the first image-to-image model that really worked!
It came out of medical imaging, an unusual place, not from NeurIPS or CVPR or ACL.
Now it is the backbone of diffusion models, which you see in almost all modern image generation models.
I drew the network as a C so the matrix multiplication flows naturally down.
Tilt your head to the right and it is a U again. 🤣
Goal: push a 3 x 16 image down to a 2 x 4 bottleneck and back out again, filling in every cell yourself.
= 1. Given =
An image of three channels, R, G and B, sixteen pixels wide, and every kernel the network will use.
= 2. Convolution 1 =
Let us slide the first kernel over the image. Each output is one multiply-and-add over a 2 x 3 window, and the result is the green feature map.
= 3. Find the maxima =
We circle the largest value in each 1 x 2 window. Circling first is worth the extra step: it is the pooling decision, made before anything is written down.
= 4. Max pool 1 =
Let us copy those maxima down. Sixteen columns become eight, and half the detail is gone for good.
= 5. Convolution 2 =
We convolve again with the second kernel, deeper into the contracting path. The feature map is blue now.
= 6. Find the maxima again =
Same move as step 3, on the blue map.
= 7. Max pool 2 =
Eight columns become four.
= 8. The bottleneck =
Let us convolve once more. This is the bottom of the U, a 2 x 4 block that is everything the network kept.
= 9. Spread it out =
We start back up. The transposed convolution writes each bottleneck value into a wider grid, leaving gaps between them.
= 10. Transposed convolution 1 =
Let us fill those gaps by convolving over the spread-out grid. Four columns become eight.
= 11. The first skip =
We copy the encoder's matching row straight across. This is the skip connection, and it is the whole reason a U-Net can recover detail that pooling threw away.
= 12. Convolution with the skip =
Let us convolve the upsampled features together with the copied ones.
= 13. Spread it out again =
Same as step 9, one level up.
= 14. Transposed convolution 2 =
Eight columns become sixteen, back to the width we started at.
= 15. The second skip =
The encoder's first feature map comes across, the one made before any pooling happened.
= 16. Convolution and ReLU =
We convolve, then cross out every negative and set it to zero.
= 17. Output convolution =
Let us apply the last kernel. Out comes R', G' and B', an image the same size as the one we started with.
The outputs:
R' = [3, 0, 7, 0, 7, 0, 17, 0, 3, 0, 9, 0, 2, 0, 6, 0]
G' = [1, 20, 1, 10, 1, 12, 1, 19, 2, 5, 1, 11, 1, 3, 1, 7]
B' = [4, 20, 8, 10, 8, 12, 18, 19, 5, 5, 10, 11, 3, 3, 7, 7]
Repost from Machine Learning with Python
This channels is for Programmers, Coders, Software Engineers.
0️⃣ Python
1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
Repost from Machine Learning
A Powerful Alternative to Pandas 🚀
This is an optimized replacement for Pandas that can significantly speed up data processing without requiring major changes to your code. ⚙️
To get started, simply replace a single import:
import fireducks.pandas as pd🔖 A useful training tool for Data Scientists 📊
🫡 Real-world tasks from IT companies;
🫡 SQL practice;
🫡 Python tasks;
🫡 Preparation for Data Science interviews.
⛓ Link to the training tool
https://www.stratascratch.com/
🏷 #DataScience #SQL #Python #InterviewPrep #TechTraining #DataAnalyst
✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Your AI helper right in your messenger — in 5 minutes, free
Amplify (UK) plugs an AI agent straight into your Telegram, WhatsApp, Slack, WeChat, or Discord. Not just a GPT chat — an assistant that reaches into the real world.
Handles it all: emails, reminders, spreadsheets, Telegram-channel digests, image and video generation, PDFs, Google Drive, Notion. Send it voice notes on the go — it gets everything.
Pricing: $10/mo + pay-as-you-go for the AI model, all costs transparent and tracked. Already have OpenAI subscription? Link it and skip paying for the model.
🎁 Promo code
CODEPROGRAMMER2 → 2 months free + $10 credit. Bring someone in — another month free.
https://getamplify.team/