hammadshaikhha/Data-Science-and-Machine-Learning-from-Scratch
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
This project offers a clear, step-by-step guide to understanding core data science and machine learning concepts. It breaks down the intuition and mathematical theory behind common algorithms, then shows you how to build them from the ground up using Python with real-world data. It's ideal for students, self-learners, or professionals who want to deeply grasp how these analytical tools work rather than just using pre-built libraries.
440 stars. No commits in the last 6 months.
Use this if you want to understand the fundamental mechanics of data science and machine learning algorithms and build them yourself without relying on high-level libraries.
Not ideal if you're looking for a quick way to apply advanced machine learning models to solve immediate business problems using established frameworks.
Stars
440
Forks
231
Language
Jupyter Notebook
License
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Category
Last pushed
Nov 02, 2021
Commits (30d)
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