Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

India29 532 Technologies & Applications8 736...

📈 Analytical overview of Telegram channel Computer Science and Programming

Channel Computer Science and Programming (@machinelearning_programming) in the English language segment is an active participant. Currently, the community unites 14 846 subscribers, ranking 8 736 in the Technologies & Applications category and 29 532 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 14 846 subscribers.

According to the latest data from 04 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -152 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 14.63%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as learning, github, engineer, quantization, detection.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:”

Thanks to the high frequency of updates (latest data received on 05 June, 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 Technologies & Applications category.

14 846

Subscribers

-724 hours

-277 days

-15230 days

2 173

Post views

No data24 hours

No data48 hours

14.63%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

14 846

15+ practical Python projects for beginners https://www.codementor.io/@garethdwyer/15-practical-python-projects-with-full-walk-through-tutorials-19jfm19ymz?utm_swu=7179 https://t.me/MachineLearning_Programming

14 846

OpenCV Sudoku Solver and OCR (with source code) In this tutorial, There are created an automatic Sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR). https://www.pyimagesearch.com/2020/08/10/opencv-sudoku-solver-and-ocr/ 👉JOIN US

14 846

Python Projects for 2020 – Work on real-time projects to head start your career https://data-flair.training/blogs/python-project-ideas/ https://t.me/MachineLearning_Programming

14 846

Python Projects for 2020 – Work on real-time projects to head start your career https://data-flair.training/blogs/python-project-ideas/ 👇👇👇https://t.me/MachineLearning_Programming

14 846

Comprehensive Python Cheatsheet https://gto76.github.io/python-cheatsheet/ https://t.me/MachineLearning_Programming

14 846

You may be interested in https://b-ok.asia/book/3709687/b9b52a?regionChanged=&redirect=452548 https://t.me/MachineLearning_Programming https://t.me/Deeplearning_ai

14 846

Explore 10 Cool Python Projects and Become Master of Python https://morioh.com/p/82f300ab13de https://t.me/MachineLearning_Programming https://t.me/Deeplearning_ai

14 846

Making simple games in Python Interactive python code for the game of Tic-Tac-Toe, Dots-and-Boxes, and Snake-and-Apple https://towardsdatascience.com/making-simple-games-in-python-f35f3ae6f31a https://t.me/MachineLearning_Programming

14 846

Machine Learning Algorithms A curated list of all (almost) machine learning and deep learning algorithms grouped by category. This repository is meant to help understand the various machine learning algorithms. You can star this repo for future reference :) https://github.com/Sahith02/machine-learning-algorithms @MachineLearning_Programming

14 846

DEEP LEARNING WITH PYTORCH Deep Learning with PyTorch provides a detailed, hands-on introduction to building and training neural networks with PyTorch, a popular open source machine learning framework. This full book includes: * Introduction to deep learning and the * PyTorch library * Pre-trained networks * Tensors * The mechanics of learning * Using a neural network to fit data * Using convolutions to generalize * Real-world examples: Building a neural * network designed for cancer detection * Deploying to production @MachineLearning_Programming

14 846

The best FREE combined Computer Science curriculum 1. @Programming_MachineLearning 2. https://laconicml.com/computer-science-curriculum/

14 846

Effective Python: 90 Specific Ways to Write Better Python (2nd Edition) (Effective Software Development Series) 1.Join 👉@Programming_MachineLearning