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MMachine Learning with Python
Machine Learning with Python
@CodeProgrammer · channel · Tech · indexed since 2026-04-17 Statistics

Statistics of the channel “Machine Learning with Python”

Active channel: 30 posts in the index in 30 days, reach ≈3.1% of the audience, audience is stable, cited by 14 venues in 30 days.
68,610subscribers±0 in a day · ±0 in a week · +163 in a month
2,146average post reach
3.1%ER — reach to subscribers
30posts in 30 days
14venues cited it in 30 days29 all time
#26 596catalog rank#1 067 in category · #1 950 in language
More metrics · 4
463post forwards in 30 days
66reactions in 30 days
2,186posts in the index5,587 total in Telegram
2020-01-07first post

Audience

Subscribers 68,610

history since 2026-09-29
2026-09-292026-10-29
07 days
+16330 days

Audience checkhow we check

High trustof 100 · compared with 2,288 similar channels
✅Post reachusual for channels of 50–200K: 9.8 %3.1 %
✅Forwards per 1,000 viewsusually 2.67.2
✅Spread of post viewsusually 0.22; flat views are a sign of bought views0.77
✅Quoted in 30 daysvenues that forwarded posts14
✅Subscriber growthbetween fresh measurementsno jumps
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Activity

Posts per day

max 7
2026-08-012026-10-29

Average post reach by day

max 16,821
2026-08-012026-10-29

When it posts (UTC, 90 days)

036912151821MoTuWeThFrSaSu

What it posts (90 days)

photos60%
text15%
links14%
videos6%
files3%
GIF2%

Best posts

Top posts in 30 days

https://substack.com/@husseinsheikho?utm_source=share&utm_medium=android&r=3hwnr8 Follow me to more posts and useful content6,566 views · 15 forwards · 2026-10-13 18:34 UTCA distinctive bot for subscribing to courses on the most popular educational platforms across multiple fields, most notably programming, artificial intelligence, mechanics, medicine, and other sciences. 🎓🤖 This bot prov5,810 views · 5 forwards · 2026-10-07 18:15 UTC"How to Train a Neural Network" is a concise summary of the MIT course lectures on deep learning from 2024. It focuses on one of the fundamental questions in neural networks: how a model learns its weights. The summary 4,768 views · 31 forwards · 2026-10-03 16:09 UTC[photos]4,377 views · 32 forwards · 2026-10-03 16:09 UTC🧲 Your agent writes the tool. You keep the terminal closed. You know the shape of the script before you open the editor. The hour goes to argparse, a retry wrapper, a rate limiter you have written eleven times already. 4,036 views · 2 forwards · 2026-09-29 15:21 UTC
Show 3 moreA collection of explanations for key concepts and scientific papers in machine learning: https://github.com/dair-ai/ML-Papers-Explained3,620 views · 25 forwards · 2026-10-01 06:55 UTC🚀 ChatGPT Plus & Gemini AI Pro🤖 ChatGPT Plus — 1 Month: $8 ✨ Gemini AI Pro — 18 Months: $2.50 🧠 Claude API ⚡ Fast delivery 🌍 Worldwide 🔐 Directly via Telegram 👉 https://t.me/Hppykeys_BOT?start=python32,627 views · 2 forwards · 2026-10-05 10:42 UTC[photos]2,496 views · 2 forwards · 2026-10-05 10:42 UTC

Most forwarded posts in 30 days

The channel's posts other venues forwarded most; the text comes from the forwarded copies.
https://substack.com/@husseinsheikho?utm_source=share&utm_medium=android&r=3hwnr8 Follow me to more posts and useful contentforwarded by 11 venues · 2026-10-13 18:36 UTCA distinctive bot for subscribing to courses on the most popular educational platforms across multiple fields, most notably programming, artificial intelligence, mechanics, medicine, and other sciences. 🎓🤖 This bot provforwarded by 10 venues · 2026-10-07 18:16 UTCThis 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 8️⃣forwarded by 8 venues · 2026-10-03 21:30 UTC🎓 $10,000 Scholarship Grant — Yours for the Taking! 🎓 Imagine this: $10,000 handed to you — completely FREE — to fund your education. No essays. No essays. No application fees. Just your effort inside our bot. 💸 🏆 Reacforwarded by 7 venues · 2026-10-06 12:49 UTC"How to Train a Neural Network" is a concise summary of the MIT course lectures on deep learning from 2024. It focuses on one of the fundamental questions in neural networks: how a model learns its weights. The summary forwarded by 5 venues · 2026-10-05 07:33 UTC
Show 3 moreA collection of explanations for key concepts and scientific papers in machine learning: https://github.com/dair-ai/ML-Papers-Explainedforwarded by 3 venues · 2026-10-07 08:28 UTC📚 Download 10 Python books for FREE: 1. Think Python — O’Reilly https://t.co/X7y3pX68IW 2. The Big Book of Small Python Projects https://inventwithpython.com/bigbookpython/ 3. Data Structures https://opendatastructureforwarded by 2 venues · 2026-10-10 06:46 UTC⭐️ If you want to get dangerously good at generative AI, then save these 10 GitHub repos: 1️⃣ Generative AI for Beginners → https://github.com/microsoft/generative-ai-for-beginners 2️⃣ LLM Course → https://github.coforwarded by 2 venues · 2026-10-17 13:31 UTC

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