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ml-basics

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DevWaqarAhmad / Basic-Concepts-of-ML

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This repository provides a conceptual foundation for understanding the basics of machine learning. It includes key concepts, algorithms, and examples to help beginners grasp the fundamentals of supervised, unsupervised learning, and more. Ideal for those starting their ML journey!

data-science reinforcement-learning ai machine-learning-algorithms supervised-learning unsupervised-learning ml-basics
  • Updated Dec 7, 2024
  • Jupyter Notebook

Shaz-5 / data-science-ml-basics

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A beginner-friendly introduction to data science and machine learning using Python with libraries like numpy, pandas, and sci-kit learn. The repository includes jupyter notebooks covering python basics, array operations, data visualization, preprocessing, classification, clustering, etc. It also contains implementation of a simple neural network.

data-science ml ml-basics
  • Updated Feb 13, 2024
  • Jupyter Notebook

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