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An Introduction to Machine Learning
1. Introduction to Machine Learning
1.1. Projects
1.2. Basic Concepts
1.3. The Python Environment: Anaconda, Colab, and Kaggle
2. Big Data - Intro Data Engineering using Spark and Hadoop
3. Data Preprocessing
4. Supervised Learning
5. Unsupervised Learning
6. Natural Language Processing
7. Large Language Models
8. Bibliography
Repository
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Computer Vision
Computer Vision
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