Machine Learning with Python

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Python | Machine Learning | Coding | R: Participating in watching the ad (Telegram channel) encourages us to offer paid resources for free

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👨🏻‍💻 This Python library helps you extract usable data for language models from complex files like tables, images, charts, or multi-page documents. 📝 The idea of Agentic Document Extraction is that unlike common methods like OCR that only read text, it can also understand the structure and relationships between different parts of the document. For example, it understands which title belongs to which table or image. ✅ Works with PDFs, images, and website links. ☑️ Can chunk and process very large documents (up to 1000 pages) by itself. ✔️ Outputs both JSON and Markdown formats. ☑️ Even specifies the exact location of each section on the page. ✔️ Supports parallel and batch processing.

pip install agentic-doc

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📌 Missing Value Imputation, Explained: A Visual Guide with Code Examples for Beginners 🗂 Category: MACHINE LEARNING 🕒 Date: 2024-08-27 | ⏱️ Read time: 13 min read One (tiny) dataset, six imputation methods?

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