In the Introduction to Machine Learning class at UCLA, various fundamental concepts and techniques in machine learning were introduced. Some of the key topics covered in the projects in the repository include:
- Python Programming
- Neural Networks
- Supervised Learning
- AdaBoost
- Unsupervised Learning
- Backpropagation
- Decision Tree Classifier
- Gradient Descent Algorithm
- Gradient Optimization
- Forward Propagation