Machine Learning
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Real Machine Learning β€” simple, practical, and built on experience.
Learn step by step with clear explanations and working code.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ”₯ Trending Repository: ML-From-Scratch

πŸ“ Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

πŸ”— Repository URL: https://github.com/eriklindernoren/ML-From-Scratch

πŸ“– Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme

πŸ“Š Statistics:
🌟 Stars: 27.8K stars
πŸ‘€ Watchers: 951
🍴 Forks: 4.8K forks

πŸ’» Programming Languages: Python

🏷️ Related Topics:
#data_science #machine_learning #data_mining #deep_learning #genetic_algorithm #deep_reinforcement_learning #machine_learning_from_scratch


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🧠 By: https://t.me/DataScienceM
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πŸ”₯ Trending Repository: Data-Science-For-Beginners

πŸ“ Description: 10 Weeks, 20 Lessons, Data Science for All!

πŸ”— Repository URL: https://github.com/microsoft/Data-Science-For-Beginners

πŸ“– Readme: https://github.com/microsoft/Data-Science-For-Beginners#readme

πŸ“Š Statistics:
🌟 Stars: 31.9K stars
πŸ‘€ Watchers: 513
🍴 Forks: 6.8K forks

πŸ’» Programming Languages: Jupyter Notebook

🏷️ Related Topics:
#python #data_science #pandas #data_visualization #data_analysis #microsoft_for_beginners


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🧠 By: https://t.me/DataScienceM
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πŸ‘¨πŸ»β€πŸ’» When I was just starting out and trying to get into the "data" field, I had no one to guide me, nor did I know what exactly I should study. To be honest, I was confused for months and felt lost.

▢️ But doing projects was like water on fire and helped me a lot to build my skills.

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γ€° Repo ML From Scratch

🏷 Here, the main AI algorithms are implemented from scratch in simple language. It’s great for understanding how models really work and for explaining them well in your interviews.

🌐 #Data_Science #DataScience
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