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This repository contains materials and projects from the "Intro to Machine Learning" course at the Hebrew University. It covers fundamental concepts, algorithms, and practical applications in machine learning, including supervised and unsupervised learning, model evaluation, and feature engineering.

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Intro to Machine Learning 📚

This repository contains materials and projects from the "Intro to Machine Learning" course at Hebrew University. It covers fundamental concepts, algorithms, and practical applications in machine learning, including:

  • Supervised Learning 🤖
  • Unsupervised Learning 🧩
  • Model Evaluation 📊
  • Feature Engineering 🔧

About

This repository contains materials and projects from the "Intro to Machine Learning" course at the Hebrew University. It covers fundamental concepts, algorithms, and practical applications in machine learning, including supervised and unsupervised learning, model evaluation, and feature engineering.

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1 watching

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