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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
2.1. Basic Syntax
2.2. Built-in Data Types
2.3. Conditionals and Loops
2.4. Creating Functions in Python
2.5. Input and Output in Python
2.6. Data Structures in Python
3. Big Data
4. Data Preprocessing
5. Supervised Learning
6. Unsupervised Learning
7. Neural Networks
8. Computer Vision
9. Natural Language Processing
10. Large Language Models
11. Bibliography
Repository
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Neural Networks
7.
Neural Networks
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