Machine Learning by Stanford University Coursera Credential
Folder | Machine Learning Model |
---|---|
ex1 | Linear regression and gradient descent |
ex2 | Logistic regression |
ex3 | Multi-class classification and neutral networks |
ex4 | Neutral nets - feedforward and backpropagation |
ex5 | Regularized linear regression and bias variance |
ex6 | Support vector machines - spam classifier |
ex7 | K-means clustering and principal component analysis |
ex8 | Anomaly detection and recommender systems |