Machine Learning - Coursera

This repo contains the programming assignments from Coursera's Machine Learning course taught by Andrew Ng.

For more information about the course, refer to https://www.coursera.org/learn/machine-learning.

Useful links

Here are some interesting links that are related with course contents:

• CS 229 Machine Learning Course Materials
• Collection of Academic Papers

Week 1

• Linear Regression

Week 2

• Understanding Gradient Descent

Week 3

• Logistic Regression
• Logistic Cost Function Derivative
• Derivation of the Normal Equation for linear regression
• The Normal Equation and matrix calculus

### Week 4

• Combinations and Permutations

Week 5

• Backpropagation algorithm

Week 6

• Bias and Variance

Week 7

• LIBSVM

Week 8

• Drawbacks of K-means
• Principal Component Analysis Explained Visually
• Making sense of PCA
• A tutorial on PCA

Week 9

• Multivariate Gaussian Distribution
• Outlier Detection Techniques