Machine Learning with Python
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Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.

Admin: @HusseinSheikho || @Hussein_Sheikho
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😎 Machine Learning Cheatsheet β€” a structured ML guide!

There are no courses here, no unnecessary theory or long lectures, but there are clear formulas, algorithms, the logic of ML pipelines, and a neatly structured knowledge base. It's perfect for quickly refreshing your understanding of algorithms or having it handy as an ML cheat sheet during work.

πŸ“Œ Here's the link: ml-cheatsheet.readthedocs.io

πŸšͺ @codeprogrammer   | #resource
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Forwarded from Data Analytics
This repository collects everything you need to use AI and LLM in your projects.

120+ libraries, organized by development stages:

β†’ Model training, fine-tuning, and evaluation
β†’ Deploying applications with LLM and RAG
β†’ Fast and scalable model launch
β†’ Data extraction, crawlers, and scrapers
β†’ Creating autonomous LLM agents
β†’ Prompt optimization and security

Repo: https://github.com/KalyanKS-NLP/llm-engineer-toolkit

πŸ₯Ί https://t.iss.one/DataAnalyticsX
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Build your own AI agent from scratch for free in 5 minutes

In this article, I will show you how to build your first AI agent from scratch using Google’s ADK (Agent Development Kit). This is an open-source framework that makes it easier to create agents, test them, add tools, and even build multi-agent systems.

Read: https://habr.com/en/articles/974212/

https://t.iss.one/CodeProgrammer βœ…
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These Google Colab-notebooks help to implement all machine learning algorithms from scratch 🀯

Repo: https://udlbook.github.io/udlbook/


πŸ‘‰ @codeprogrammer
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Ant AI Automated Sales Robot is an intelligent robot focused on automating lead generation and sales conversion. Its core function simulates human conversation, achieving end-to-end business conversion and easily generating revenue without requiring significant time investment.

I. Core Functions: Fully Automated "Lead Generation - Interaction - Conversion"

Precise Lead Generation and Human-like Communication: Ant AI is trained on over 20 million real social chat records, enabling it to autonomously identify target customers and build trust through natural conversation, requiring no human intervention.

High Conversion Rate Across Multiple Scenarios: Ant AI intelligently recommends high-conversion-rate products based on chat content, guiding customers to complete purchases through platforms such as iFood, Shopee, and Amazon. It also supports other transaction scenarios such as movie ticket purchases and utility bill payments.

24/7 Operation: Ant AI continuously searches for customers and recommends products. You only need to monitor progress via your mobile phone, requiring no additional management time.

II. Your Profit Guarantee: Low Risk, High Transparency, Zero Inventory Pressure, Stable Commission Sharing

We have established partnerships with platforms such as Shopee and Amazon, which directly provide abundant product sourcing. You don't need to worry about inventory or logistics. After each successful order, the company will charge the merchant a commission and share all profits with you. Earnings are predictable and withdrawals are convenient. Member data shows that each bot can generate $30 to $100 in profit per day. Commission income can be withdrawn to your account at any time, and the settlement process is transparent and open.

Low Initial Investment Risk. Bot development and testing incur significant costs. While rental fees are required, in the early stages of the project, the company prioritizes market expansion and brand awareness over short-term profits.

If you are interested, please join my Telegram group for more information and leave a message: https://t.iss.one/+lVKtdaI5vcQ1ZDA1
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Do you see yourself as a programmer, researcher, or engineer?
Anonymous Poll
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πŸ’› Top 10 Best Websites to Learn Machine Learning ⭐️
by [@codeprogrammer]

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🧠 Google’s ML Course
πŸ”— https://developers.google.com/machine-learning/crash-course

πŸ“ˆ Kaggle Courses
πŸ”— https://kaggle.com/learn

πŸ§‘β€πŸŽ“ Coursera – Andrew Ng’s ML Course
πŸ”— https://coursera.org/learn/machine-learning

⚑️ Fast.ai
πŸ”— https://fast.ai

πŸ”§ Scikit-Learn Documentation
πŸ”— https://scikit-learn.org

πŸ“Ή TensorFlow Tutorials
πŸ”— https://tensorflow.org/tutorials

πŸ”₯ PyTorch Tutorials
πŸ”— https://docs.pytorch.org/tutorials/

πŸ›οΈ MIT OpenCourseWare – Machine Learning
πŸ”— https://ocw.mit.edu/courses/6-867-machine-learning-fall-2006/

✍️ Towards Data Science (Blog)
πŸ”— https://towardsdatascience.com

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πŸ’‘ Which one are you starting with? Drop a comment below! πŸ‘‡
#MachineLearning #LearnML #DataScience #AI

https://t.iss.one/CodeProgrammer 🌟
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