Machine Learning with Python

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Convert any long article or PDF into a test in a couple of seconds! Mini-service: we take the text of the article (or extract it from PDF), send it to GPT and receive a set of test questions with answer options and a key. First, we load the text of the material:

# article_text — this is where we put the text of the article
with open("article.txt", "r", encoding="utf-8") as f:
    article_text = f.read()

# for PDF, you can extract the text in advance with any library (PyPDF2, pdfplumber, etc.)

Next, we ask GPT to generate a test:

prompt = (
    "You are an exam methodologist."
    "Based on this text, create 15 test questions."
    "Each question is in the format:\n"
    "1) Question text\n"
    "A. Option 1\n"
    "B. Option 2\n"
    "C. Option 3\n"
    "D. Option 4\n"
    "Correct answer: <letter>."
    "Do not add explanations and comments, only questions, options, and correct answers."
)
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[
        {"role": "system", "content": prompt},
        {"role": "user", "content": article_text}
    ])
print(response.choices[0].message.content.strip())

🔥 Suitable for online courses, educational centers, and corporate training — you immediately get a ready-made bank of tests from any article. 🚪 https://t.me/CodeProgrammer

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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

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The Python library PandasAI has been released for simplified data analysis using AI. You can ask questions about the dataset in plain language directly in the AI dialogue, compare different datasets, and create graphs. It saves a lot of time, especially in the initial stage of getting acquainted with the data. It supports CSV, SQL, and Parquet. And here's the link 😍 👉 https://t.me/DataAnalyticsX

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I rarely say this, but this is the best repository for mastering Python. The course is led by David Beazley, the author of Python Cookbook (3rd edition, O'Reilly) and Python Distilled (Addison-Wesley). In this PythonMastery.pdf, all the information is structured 👾 Link: https://github.com/dabeaz-course/python-mastery/blob/main/PythonMastery.pdf In the Exercises folder, all the exercises are located 👾 Link: https://github.com/dabeaz-course/python-mastery/tree/main/Exercises In the Solutions folder — the solutions 👾 Link: https://github.com/dabeaz-course/python-mastery/tree/main/Solutions 👉 @codeprogrammer

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Want to get into Data Analysis? Here are paid courses with certificates to build real skills: 1️⃣ Google Data Analytics Certificate https://lnkd.in/dqEU-yht 2️⃣ IBM Data Science Certificate https://lnkd.in/dQz58dY6 3️⃣ SQL Basics for Data Science https://lnkd.in/dcFHHm28 4️⃣ Google Business Intelligence Certificate https://lnkd.in/d4gbdF24 5️⃣ Microsoft Python Development Certificate https://lnkd.in/dDXX_AHM Which data skill are you focusing on now?

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