xunqiu2 / coursera-ml

Exercises of Machine Learning Course taught by Prof. Andrew Ng on Coursera.

Coursera-ML -linbo.jin

Exercises of Machine Learning Course taught by Prof. Andrew Ng on Coursera. --- 2013.11.09

Course Website: https://www.coursera.org/course/ml

Programming Exercise 1: Linear Regression (Week2)

1. Simple octave function
2. Linear regression with one variable
3. Linear regression with multiple variables

Programming Exercise 2: Logistic Regression (Week3)

1. Logistic Regression
2. Regularized logistic regression

--- 2013.11.09

Programming Exercise 3: Multi-class Classification and Neural Networks (Week4)

1. One-vs-all Classification based on Logistic Regression
2. Feedforward Propagation and Prediction

Programming Exercise 4: Neural Networks Learning (Week5)

1. Feedforward and Cost Function
2. Backpropagation Algorithm
3. Visualizing the hidden layer

--- 2013.11.20

Programming Exercise 5: Regularized Linear Regression and Bias v.s. Variance (Week6)

1. Regularized Linear Regression
2. Bias-variance
3. Polynomial regression

--- 2013.12.08

Programming Exercise 6: Support Vector Machines (Week7)

1. Support Vector Machines
2. Spam Classification

--- 2013.12.13

Programming Exercise 7: K-means Clustering and Principal Component Analysis (Week8)

1. K-means Clustering
2. Principal Component Analysis

--- 2013.12.19

Programming Exercise 8: Anomaly Detection and Recommender (Week9)

1. Anomaly detection
2. Recommender Systems

--- 2014.01.01