Machine Learning Specialization
Published:
Completed the Machine Learning Specialization by Stanford University and DeepLearning.AI, taught by Andrew Ng. Core ML concepts focusing on supervised learning, unsupervised learning, neural networks and best practices.
Courses Completed
Course 1: Supervised Machine Learning
- Linear regression and logistic regression
- Gradient descent optimization
- Regularization techniques
Course 2: Advanced Learning Algorithms
- Neural networks and deep learning fundamentals
- Decision trees and ensemble methods
- Practical advice for ML projects
Course 3: Unsupervised Learning and Recommender Systems
- Clustering algorithms (K-means)
- Anomaly detection
- Collaborative filtering and content-based recommendations
- Reinforcement learning introduction