Machine Learning with Python

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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho

Network:Machine Learning with Python India4 740 Education2 366...

📈 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 68 138 subscribers, ranking 2 366 in the Education category and 4 740 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 68 138 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 86 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 4.07%. Within the first 24 hours after publication, content typically collects 1.52% reactions from the total number of subscribers.
Post reach: On average, each post receives 2 775 views. Within the first day, a publication typically gains 1 037 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
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 31 August, 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.

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68 138

Subscribers

+2724 hours

-297 days

+8630 days

2 775

Post views

~ 1 03724 hours

~ 1 11248 hours

4.07%

Engagement rate

~ 2

Posts per day

Ads index

beta

Posts Archive

68 138

Repost from Machine Learning

📌 How to Build a Genetic Algorithm from Scratch in Python 🗂 Category: DATA SCIENCE 🕒 Date: 2024-08-30 | ⏱️ Read time: 16 min read A complete walkthrough on how one can build a Genetic Algorithm from scratch in Python,…

68 138

Repost from Github Top Repositories

Python library RetinaFace for face detection and working with key points (eyes, nose, mouth) Supports face alignment, easily installed via pip install retina-face, and works based on deep models from the insightface project. An excellent tool for tasks in computer vision and face recognition. Usage examples:

from retinaface import RetinaFace

resp = RetinaFace.detect_faces("img1.jpg")
print(resp)

{
    "face_1": {
        "score": 0.9993440508842468,
        "facial_area": [155, 81, 434, 443],
        "landmarks": {
          "right_eye": [257.82974, 209.64787],
          "left_eye": [374.93427, 251.78687],
          "nose": [303.4773, 299.91144],
          "mouth_right": [228.37329, 338.73193],
          "mouth_left": [320.21982, 374.58798]
        }
  }
}

👉 @DataScienceN

68 138

Creating QR codes with Python in just a few lines of code Anyone can generate their own QR code for a link, text, or even Wi-Fi data. For this, the qrcode library and the PIL module are used

pip install qrcode pillow

import qrcode
from PIL import Image

data = input("Enter data for QR: ")
qr = qrcode.QRCode(version=3, box_size=8, border=4)
qr.add_data(data)
qr.make(fit=True)

image = qr.make_image(fill="black", back_color="aqua")
image.save("qr_code.png")
Image.open("qr_code.png")

The output is a ready QR code with any text or link. You can change colors, sizes, and style to fit your design 🙂 👉 https://t.me/CodeProgrammer

68 138

Repost from Machine Learning

📌 A Guide to Clustering Algorithms 🗂 Category: DATA SCIENCE 🕒 Date: 2024-09-06 | ⏱️ Read time: 6 min read An overview of clustering and the different families of clustering algorithms.

68 138

What if you could double your trading power—today? Start with just $200 at Elite Gold Trading, and get a $200 bonus from our partner broker, plus +20% on every future deposit. Don’t wait—join now and copy proven AI strategies in real time. Trade smarter, grow faster, and see real results. Get started here #ad InsideAds

68 138

Repost from Machine Learning

📌 Image Segmentation With K-Means Clustering 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-05 | ⏱️ Read time: 11 min read An introduction with Python

68 138

Google Collab notebooks to learn everything you need to master prompt engineering with Claude - from basic structure and role prompting to advanced techniques like few-shot learning, avoiding hallucinations, and tool use. Perfect interactive lessons to level up your AI skills Link: https://github.com/anthropics/courses/tree/master/prompt_engineering_interactive_tutorial/Anthropic%201P

68 138

Soon 😉

68 138

Think trading is all about luck or chasing fast money? The truth is much simpler: real results come from steady discipline, smart risk management, and total transparency. Every day, we post real trading results—no hype, just facts. Want to see what’s really possible? Discover today’s actual performance right here. Get honest insight—join Elite Gold Trading! #ad InsideAds

68 138

Our paid channel contains more than 9000 books and 500 paid courses With a $3 monthly subscription, you can cancel whenever you want https://t.me/+r_Tcx2c-oVU1OWNi

68 138

Harvard's "Advanced Algorithms" by Jelani Nelson 📽 Lecture Videos: https://youtube.com/playlist?list=PL2SOU6wwxB0uP4rJgf5ayhHWgw7akUWSf 📷 Lecture Notes: https://people.seas.harvard.edu/~cs224/fall14/lec.html

68 138

Today I am 3️⃣0️⃣ years old, I am excited to make more successes and achievements My previous year was full of exciting events and economic, political and programmatic noise, but I kept moving forward Best regards Eng. @HusseinSheikho 🔤

68 138

“Nobody believed you could grow small capital—until I saw this.” $1,000 turned into real profit before my eyes. The secret? Bonus fuel & copytrading with Elite Gold. Want proof? See how it’s actually done before the bonus ends. #ad InsideAds

68 138

“Nobody believed I could double my deposit safely… But inside Elite Gold Trading, we proved it: real people, real profits, real discipline. Want to see how our members avoid big losses and keep winning? 👉 Discover the secret inside #ad InsideAds

68 138

Repost from Machine Learning

📌 A Basic Introduction to Quantum GANs 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-09-21 | ⏱️ Read time: 11 min read “Quantum computing just becomes vastly simpler once you take the physics out of it.”

68 138

Repost from Machine Learning

📌 How to Build Effective Agentic Systems with LangGraph 🗂 Category: AGENTIC AI 🕒 Date: 2025-09-30 | ⏱️ Read time: 12 min read Create AI workflows with agentic frameworks

68 138

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

68 138

Please help me collect a donation for an urgent and very necessary matter. The amount is $300 I hope everyone will help me PayPal: https://www.paypal.me/HusseinSheikho Usdt TRC-20 Address: TMzAr8AFcZ1n5RXZa3BHPXHBRqugx9Skr7

68 138

“Nobody believed me when I said I made +200 pips in ONE day. But look at this—members are collecting profits while others are still doubting. Do you want to see how it’s really done? Check here before you miss the next payout! #ad InsideAds .