Machine Learning with Python

Відкрити в Telegram

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

Сітка:Machine Learning with Python Індія4 731 Освіта2 365...

📈 Аналітичний огляд Telegram-каналу Machine Learning with Python

Канал Machine Learning with Python (@codeprogrammer) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 68 136 підписників, посідаючи 2 365 місце в категорії Освіта та 4 731 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 68 136 підписників.

За останніми даними від 31 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 80, а за останні 24 години на 1, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 4.09%. Протягом перших 24 годин після публікації контент зазвичай збирає 1.54% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 2 784 переглядів. Протягом першої доби публікація в середньому набирає 1 052 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 5.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як insidead, learning, degree, evaluation, algorithm.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. Admin: @HusseinSheikho || @Hussein_Sheikho”

Завдяки високій частоті оновлень (останні дані отримано 01 вересня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Освіта.

Buy Ad

68 136

Підписники

+124 години

-97 днів

+8030 день

2 784

Перегляди допису

~ 1 05224 години

~ 1 13048 годин

4.09%

Коефіцієнт залучення

~ 2

Дописів на день

Ads index

beta

Архів дописів

68 142

🙏💸 500$ FOR THE FIRST 500 WHO JOIN THE CHANNEL! 🙏💸 Join our channel today for free! Tomorrow it will cost 500$! https://t.me/+QHlfCJcO2lRjZWVl You can join at this link! 👆👇 https://t.me/+QHlfCJcO2lRjZWVl

68 142

https://t.me/PythonArab

68 142

Repost from AI & ML Papers

Tired of endless job boards and low offers? Unlock access to exclusive remote jobs from top startups—some with salaries $100k+ and early-bird roles at $50/h and above. New high-paying openings posted daily—tech, marketing, design, and more. Ready to upgrade your career from anywhere? Check today’s top jobs now before they’re gone! #إعلان InsideAds

68 142

Topic: Python Script to Convert a Shared ChatGPT Link to PDF – Step-by-Step Guide --- ### Objective In this lesson, we’ll build a Python script that: • Takes a ChatGPT share link (e.g., https://chat.openai.com/share/abc123) • Downloads the HTML content of the chat • Converts it to a PDF file using pdfkit and wkhtmltopdf This is useful for archiving, sharing, or printing ChatGPT conversations in a clean format. --- ### 1. Prerequisites Before starting, you need the following libraries and tools: #### • Install pdfkit and requests

pip install pdfkit requests

#### • Install wkhtmltopdf Download from: [https://wkhtmltopdf.org/downloads.html](https://wkhtmltopdf.org/downloads.html) Make sure to add the path of the installed binary to your system PATH. --- ### 2. Python Script: Convert Shared ChatGPT URL to PDF

import pdfkit
import requests
import os

# Define output filename
output_file = "chatgpt_conversation.pdf"

# ChatGPT shared URL (user input)
chat_url = input("Enter the ChatGPT share URL: ").strip()

# Verify the URL format
if not chat_url.startswith("https://chat.openai.com/share/"):
    print("Invalid URL. Must start with https://chat.openai.com/share/")
    exit()

try:
    # Download HTML content
    response = requests.get(chat_url)
    if response.status_code != 200:
        raise Exception(f"Failed to load the chat: {response.status_code}")

    html_content = response.text

    # Save HTML to temporary file
    with open("temp_chat.html", "w", encoding="utf-8") as f:
        f.write(html_content)

    # Convert HTML to PDF
    pdfkit.from_file("temp_chat.html", output_file)

    print(f"\n✅ PDF saved as: {output_file}")

    # Optional: remove temp file
    os.remove("temp_chat.html")

except Exception as e:
    print(f"❌ Error: {e}")

--- ### 3. Notes • This approach works only if the shared page is publicly accessible (which ChatGPT share links are). • The PDF output will contain the web page version, including theme and layout. • You can customize the PDF output using pdfkit options (like page size, margins, etc.). --- ### 4. Optional Enhancements • Add GUI with Tkinter • Accept multiple URLs • Add PDF metadata (title, author, etc.) • Add support for offline rendering using BeautifulSoup to clean content --- ### Exercise • Try converting multiple ChatGPT share links to PDF • Customize the styling with your own CSS • Add a timestamp or watermark to the PDF --- #Python #ChatGPT #PDF #WebScraping #Automation #pdfkit #tkinter

68 142

Repost from Python Courses & Resources

5 remote jobs paying up to $15,000/month—posted TODAY. Last week, my friend landed $140k/year working from Bali using this channel. But here’s the catch: the best offers go out EARLY. Curious what everyone’s missing? Unlock jobs top recruiters keep secret 👉 here #إعلان InsideAds

68 142

Topic: Handling Datasets of All Types – Part 1 of 5: Introduction and Basic Concepts --- 1. What is a Dataset? • A dataset is a structured collection of data, usually organized in rows and columns, used for analysis or training machine learning models. --- 2. Types of Datasets • Structured Data: Tables, spreadsheets with rows and columns (e.g., CSV, Excel). • Unstructured Data: Images, text, audio, video. • Semi-structured Data: JSON, XML files containing hierarchical data. --- 3. Common Dataset Formats • CSV (Comma-Separated Values) • Excel (.xls, .xlsx) • JSON (JavaScript Object Notation) • XML (eXtensible Markup Language) • Images (JPEG, PNG, TIFF) • Audio (WAV, MP3) --- 4. Loading Datasets in Python • Use libraries like pandas for structured data:

import pandas as pd
df = pd.read_csv('data.csv')

• Use libraries like json for JSON files:

import json
with open('data.json') as f:
    data = json.load(f)

--- 5. Basic Dataset Exploration • Check shape and size:

print(df.shape)

• Preview data:

print(df.head())

• Check for missing values:

print(df.isnull().sum())

--- 6. Summary • Understanding dataset types is crucial before processing. • Loading and exploring datasets helps identify cleaning and preprocessing needs. --- Exercise • Load a CSV and JSON dataset in Python, print their shapes, and identify missing values. --- #DataScience #Datasets #DataLoading #Python #DataExploration https://t.me/DataScienceM

68 142

Repost from Python Courses & Resources

68 142

🚀 THE 7-DAY PROFIT CHALLENGE! 🚀 Can you turn $100 into $5,000 in just 7 days? Jay can. And she’s challenging YOU to do the same. 👇 https://t.me/+QOcycXvRiYs4YTk1 https://t.me/+QOcycXvRiYs4YTk1 https://t.me/+QOcycXvRiYs4YTk1

68 142

Repost from Machine Learning

Looking for a $10k–$15k/month remote job? Top international startups post new offers DAILY. Land high-paying roles in tech, marketing, design & more — most never seen elsewhere. Want early access before everyone else? Get today’s exclusive jobs list — new positions every morning! Don’t miss your next career breakthrough. Join now! #إعلان InsideAds

68 142

Repost from AI & ML Papers

68 142

Repost from Python Courses & Resources

Tired of endless job hunting? Unlock high-paying remote jobs from top startups – fresh roles posted daily. Want early access to exclusive $50+/h positions you won’t find on LinkedIn? Get ahead now — the best offers go fast! See today’s hottest openings before everyone else. #إعلان InsideAds

68 142

Repost from Python Courses & Resources

68 142

Repost from Python Courses & Resources

68 142

t.me/PythonArab arab group about python and ML

68 142

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

68 142

NUMPY FOR DS.pdf4.50 MB

68 142

😉 A list of the best YouTube videos ✅ To learn data science 1️⃣ SQL language ⬅️ Learning 💰 4-hour SQL course from zero to one hundred 💰 Window functions tutorial ⬅️ Projects 📎 Starting your first SQL project 💰 Data cleansing project 💰 Restaurant order analysis ⬅️ Interview 💰 How to crack the SQL interview? ➖➖➖ 2️⃣ Python ⬅️ Learning 💰 12-hour Python for Data Science course ⬅️ Projects 💰 Python project for beginners 💰 Analyzing Corona Data with Python ⬅️ Interview 💰 Python interview golden tricks 💰 Python Interview Questions ➖➖➖ 3️⃣ Statistics and machine learning ⬅️ Learning 💰 7-hour course in applied statistics 💰 Machine Learning Training Playlist ⬅️ Projects 💰 Practical ML Project ⬅️ Interview 💰 ML Interview Questions and Answers 💰 How to pass a statistics interview? ➖➖➖ 4️⃣ Product and business case studies ⬅️ Learning 💰 Building strong product understanding 💰 Product Metric Definition ⬅️ Interview 💰 Case Study Analysis Framework 💰 How to shine in a business interview?

#DataScience #SQL #Python #MachineLearning #Statistics #BusinessAnalytics #ProductCaseStudies #DataScienceProjects #InterviewPrep #LearnDataScience #YouTubeLearning #CodingInterview #MLInterview #SQLProjects #PythonForDataScience

✉️ Our Telegram channels: https://t.me/addlist/0f6vfFbEMdAwODBk

68 142

What is torch.nn really?

When I started working with PyTorch, my biggest question was: "What is torch.nn?".

This article explains it quite well. 📌 Read

68 142

❗️ JAY HELPS EVERYONE EARN MONEY!$29,000 HE'S GIVING AWAY TODAY! Everyone can join his channel and make money! He gives away from $200 to $5.000 every day in his channel https://t.me/+LgzKy2hA4eY0YWNl ⚡️FREE ONLY FOR THE FIRST 500 SUBSCRIBERS! FURTHER ENTRY IS PAID! 👆👇 https://t.me/+LgzKy2hA4eY0YWNl