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Python | Machine Learning | Coding | R
🖥 Python cheat sheet, which contains small scripts for solving everyday problems

By the way, here are some of them:

✔️ add the sample.txt file to the .tar.gz archive:
import tarfile
with tarfile.open('sample.tar.gz', 'w:gz') as tar:
tar.add('sample.txt')


✔️ clear output of differences between strings
import difflib
diff = difflib.ndiff('one\ntwo\nthree\n'.splitlines(keepends=True),
'ore\ntree\nemu\n'.splitlines(keepends=True))
print(''.join(diff))


📎 Crib ✔️ #python

🌐 http://www.tgoop.com/codeprogrammer ✅️
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📌 Big road map from William Brown: how and what to study for development in the field of generative neural networks and AI

Here are tons of useful links for each section, some of these links have already been posted in the channel, for example, links to incredibly useful tutorials from Lilian Weng .
Here are the main sections that this roadmap covers:
✔️ time series analysis, Markov models
✔️ recurrent neural networks, LSTM and GRU,
✔️ working with language: tokenization, etc.
✔️ fine tuning methods for LLM
✔️ LLM assessment and benchmarks
✔️ LLM optimization: quantization
✔️ context scaling
✔️ GAN, diffusion models
✔️ multimodal models

☄️ Roadmap 😮

#python #deeplearning #ML

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📱 Aider - AI-partner for programming with console interface

Aider got the top score on SWE Bench, a challenging benchmark in which Aider solved real-world problems on #GitHub from popular open source projects like #django, #scikitlearn, #matplotlib, etc.

🖥 GitHub

🟡 Docs

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🎁 Lisa has given away over $100,000 in the last 30 days. Every single one of her subscribers is making money.

She is a professional trader and broadcasts her way of making money trading on her channel EVERY subscriber she has helped, and she will help you.

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Python | Machine Learning | Coding | R
🤖 The most huge collection of cheats for ChatGPT!

With these chips the AI will work without limits, gossip about everything in the world without fear of bans, and respond in ways that OpenAI has never even dreamed of. There are many other chips that will make the neural network much smarter and more accurate.

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Python | Machine Learning | Coding | R
@codeprogrammer Scientific Python Lectures.pdf
18.7 MB
🖥 Scientific Python Lectures (2024)

✅ Scientific Python Lectures
Gaël Varoquaux, Emmanuelle Gouillart, Olav Vahtras Pierre de Buyl, and many others.

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Python | Machine Learning | Coding | R
🖥 Downloading a YouTube Playlist using Python

Click Me Load More YouTube playlist using Python.

⭐️ http://www.tgoop.com/codeprogrammer
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Python | Machine Learning | Coding | R
🔺 10 free MIT data science courses

☄️ If you have started learning data science, improve your learning level right now with the courses of prestigious universities and institutions in the world such as Stanford, Harvard and MIT, which are the first in the field of data science.

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WebScraping with Gen AI

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

1️⃣ Basics of Web Scraping:
Understand the fundamental concepts and techniques of web scraping and its legal and ethical considerations.

2️⃣ Scraping with Gen AI:
Discover how Gen AI revolutionizes the web scraping landscape with real-world examples.

3️⃣ Jina Reader API:
Get acquainted with the Jina Reader API, a powerful tool for obtaining LLM-friendly input from URLs or web searches.

4️⃣ ScrapeGraphAI:
Dive into ScrapeGraphAI, a groundbreaking Python library that combines LLMs and direct graph logic for creating robust scraping pipelines.

Event Details:
🗓 Date: 22 June, Saturday
⏰ Time: 11:00 AM IST
🔗 Register now: https://www.buildfastwithai.com/events/web-scraping-with-gen-ai

Connect with Founder from IIT Delhi;
https://www.linkedin.com/in/satvik-paramkusham/
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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


2️⃣ Programming language

🏷 Python
◾┘️ link: Learn Python 3


3️⃣ Data analysis and manipulation

🏷 Pandas library
◾┘️ link: pandas documentation

🏷 Data preparation with Pandas
Link : Data Wrangling with Pandas

🏷 NumPy library
◾┘️ link: NumPy documentation


4️⃣ Data visualization

🏷 Matplotlib and Seaborn library
◾┘️ Link: Matplotlib / seaborn

🏷 Tableau Public platform
Link : Tableau Public


5️⃣ Principles of machine learning

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


6️⃣ Learning algorithms

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


7️⃣ Deep learning

🏷 TensorFlow library
◾┘️ link: TensorFlow Tutorial

🏷 PyTorch library
◾┘️ Link: PyTorch Documentation


8️⃣ Big data technologies

🏷 Spark framework course
◾┘️ Link: Spark Course


9️⃣ Advanced topics

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


1️⃣ Share your projects on Kaggle and GitHub

🏷 Kaggle platform
◾┘️ link: Kaggle

🏷 GitHub platform
◾┘️ Link: GitHub

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LLM Cheatsheet.pdf
3.5 MB
LLM cheatsheet ⭐

http://www.tgoop.com/codeprogrammer ✅
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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.

http://www.tgoop.com/codeprogrammer ✅
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Python | Machine Learning | Coding | R
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Python | Machine Learning | Coding | R
🖥 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

• Github

http://www.tgoop.com/codeprogrammer ✅
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