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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. Introduction to Python and Basic Syntax
2.7. Built-in Data Types
2.8. Conditionals and Loops
2.9. Creating Functions in Python
2.10. Input and Output in Python
2.11. Data Structures in Python
3. Big Data - Intro Data Engineering using Spark and Hadoop
4. Data Preprocessing
5. Supervised Learning
6. Unsupervised Learning
7. Natural Language Processing
8. Large Language Models
9. Bibliography
Repository
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Unsupervised Learning
6.
Unsupervised Learning
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