aut-datahub / ML_Washington_University

Machine Learning Specialization Offered By the University Of Washington at Coursera.org

ML Washington University

Machine Learning Specialization Offered By the University Of Washington at Coursera

All the slides, programming assignments and datasets can be found in the table below

Content

Course Title	🔗 My Repository
1. Foundations	More Info & Resources
2. Regression	More Info & Resources
3. Classification	More Info & Resources
4. Clustering & Retrieval	More Info & Resources

Machine Learning Foundations: A Case Study Approach

• Regression: Predicting House Prices
• Classification: Analyzing Sentiment
• Clustering and Similarity: Retrieving Documents
• Recommending Products
• Deep Learning: Searching for Images
• 🔗 Coursera

Machine Learning: Regression

• Simple Linear Regression
• Multiple Regression
• Assessing Performance
• Ridge Regression
• Feature Selection and Lasso
• Nearest Neighbors and Kernel Regression
• 🔗 Coursera

Machine Learning: Classification

• Linear Classifiers and Logistic Regression
• Learning Linear Classifiers
• Overfitting and Regularization in Logistic Regression
• Decision Trees
• Preventing Overfitting in Decision Trees
• Handling Missing Data
• Boosting
• Precision-Recall
• Scaling to Huge Datasets and Online Learning
• 🔗 Coursera

Machine Learning: Clustering & Retrieval

• Neareat Neighbor Search
• Clustering with k-means
• Mixture Models
• Latent Dirichlet Allocations
• Hierarchical Clustering
• 🔗 Coursera