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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
Show moreπ 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 67 816 subscribers, ranking 2 420 in the Education category and 5 023 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 67 816 subscribers.
According to the latest data from 12 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 57 over the last 30 days and by 3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.13%. Within the first 24 hours after publication, content typically collects 1.69% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 799 views. Within the first day, a publication typically gains 1 149 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.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βLearn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
Admin: @HusseinSheikho || @Hussein_Sheikhoβ
Thanks to the high frequency of updates (latest data received on 13 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 Education category.
67 816
Subscribers
+324 hours
-187 days
+5730 days
Posts Archive
π Popular SQL Challenges You Should Know!
π₯1. How to Find the Second Highest Value in a Column Need to find the second highest salary? Use a combination of ORDER BY and LIMIT to get it easily:
SELECT MAX(salary) AS second_highest_salary
FROM employees
WHERE salary < (SELECT MAX(salary) FROM employees);
2. How to Find the N-th Highest Salary in a Table Want to find the N-th highest salary? Just order the salaries in descending order and use LIMIT to pick the exact one you need. For example, to find the 3rd highest salary:
SELECT salary
FROM employees
ORDER BY salary DESC
LIMIT 2,1;
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Deep Learning
NLP
AI
Python
ML
Data Mining
Tensorflow
Keras
πππππ
@Machine_learn
βοΈ CSV Trimming
CSV Trimming is a Python package designed to clean up crooked CSVs - the kind you get from parking sites, legacy systems, or poorly collected data - and transform them into clean, well-formatted CSVs with just one line of code.
There is no need for complex settings or large language models.
pip install csv_trimming
Python
import pandas as pd
from csv_trimming import CSVTrimmer
# Load your csv
csv = pd.read_csv("tests/documents/noisy/sicilia.csv")
# Instantiate the trimmer
trimmer = CSVTrimmer()
# And trim it
trimmed_csv = trimmer.trim(csv)
#That's it!
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π #deeplearning #AI #ML #python
Repost from Data Science Books
Think Python (2024)
Available here:
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Comprehensive Python Cheatsheet (2024)
http://t.me/codeprogrammer π
π #deeplearning #AI #ML #python
Repost from Data Science Books
Dear Programmers, Engineers, and Students β€οΈ:
We have two subscription plans:
Free Plan: Available for subscribers of this channel.
π The free plan includes:
π Up to 3 books daily with an average rating.
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π 2 medium-rated programming projects.
πͺ Gold Plan:
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π Projects, resources, datasets, roadmaps, and important guides.
π Support Team
You can switch to the Gold Plan by subscribing monthly through this link π
https://t.me/+qvMSLM70zys1ZTJi
π₯ Cost of the Gold Plan subscription: 3$ per month.
For any inquiries or issues you encounter with the subscription, please contact me at:
t.me/husseinSheikho
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βοΈ JupyterLab Templates plugin
π¨π»βπ» If you use JupyterLab a lot, you probably create a new notebook from scratch every time you start a data analysis project. But with the JupyterLab Templates plugin , there is no need to do this anymore. This tool allows you to create different templates and use them whenever you need.
π° For example, suppose you have a similar structure for each data analysis or EDA project. Using JupyterLab Templates, you can create this structure once and then use that template every time you want to start a new project, without having to start all over again!
βͺ Installing and using this plugin is very simple.π
pip install jupyterlab_templates
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