Python | Machine Learning | Coding | R 2969

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@codeprogrammer Scientific Python Lectures.pdf

18.7 MB

🖥 Scientific Python Lectures (2024)

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Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras Pierre de Buyl, and many others.

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Downloading a YouTube Playlist using Python

Click Me Load More YouTube playlist using Python.

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10 free MIT data science courses

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9.84K viewsedited 11:47

WebScraping with Gen AI

During this session, we'll explore the following topics:

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🔺 Data science learning roadmap in 2024

👨🏻‍💻 If you want to start learning data science from scratch in 2024, this roadmap can be a great starting point for you.👌🏼

1️⃣ Basics of data science

🏷 Statistics and probability
◾┘️ link: Statistics & Probability

🏷 Linear Algebra
┘ ◽️ link: Essence of Linear Algebra

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Programming language

🏷 Python
◾┘️ link: Learn Python 3

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◾┘️ link: pandas documentation

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Link : Data Wrangling with Pandas

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◾┘️ Link: Matplotlib / seaborn

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🏷 scikit-learn library
◾┘️ link: scikit-learn

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🏷 Hands-On Machine Learning book
◾┘️ link: Hands-On ML

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🏷 TensorFlow library
◾┘️ link: TensorFlow Tutorial

🏷 PyTorch library
◾┘️ Link: PyTorch Documentation

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🏷 Spark framework course
◾┘️ Link: Spark Course

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🏷 Natural language processing course in Python
◾┘️ link: NLP in Python

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◾┘️ link: Kaggle

🏷 GitHub platform
◾┘️ Link: GitHub

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LLM Cheatsheet.pdf

3.5 MB

LLM cheatsheet ⭐

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Gemini with 3.25 billion parameters can be run locally on your computer directly in a Chrome tab,

This version runs without internet, is completely free, private and uses less than 2 GB of RAM. It only takes two lines of code to run Gemini, as shown in the third video.

What's the secret? Google has already built Gemini into the developer version of Chrome, and a resourceful Twitter user found how to activate it.

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🖥

Aurora is a static site generator implemented in Python

Aurora is a static site generator implemented in Python.

Aurora supports:

- Create content and pages using markdown, jinja2 and HTML
- Various types of assembly
- Interactive build with fast reload capability for development (reload time up to < 300ms)
- Built-in support for creating site pages

pip3 install aurora-ssg

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Docks

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Unstructured - Python library for raw data preprocessing

- pip install "unstructured[all-docs]"

Unstructured provides components for preprocessing images and text documents; supports many formats: PDF, HTML, Word docs, etc.

Run the library in a container:

docker run -dt --name unstructured downloads.unstructured.io/unstructured-io/unstructured:latest
docker exec -it unstructured bash

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GitHub

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At the end of the month we will present a precious prize for the first three winning positions in this competition

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6.76K viewsedited 13:55

Hugging Face

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Microsoft has quietly updated the Phi-3 Mini

- significantly improved code understanding in Python, C++, Rust and Typescript
- Improved output, now it is more structured
- improved understanding of complex sentences
- added support for the <|system|> tag.
- Improved reasoning ability and understanding of long contexts

4K and 128K benchmarks are affected by this update

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7.42K viewsedited 16:38