Here are implemmented excercises with Octave and python while I'm taking course of Machine Learning by Andrew Ng on Coursera
- Exercise 1 - Linear Regression
- Exercise 2 - Logistic Regression
- Exercise 3 - Multi-class Classification and Neural Networks
- Exercise 4 - Neural Networks Learning
- Exercise 5 - Regularized Linear Regression and Bias v.s. Variance
- Exercise 6 - Support Vector Machines
- Exercise 7 - K-means Clustering and Principal Component Analysis
- Exercise 8 - Anomaly Detection and Recommender Systems
https://www.coursera.org/learn/machine-learning/home/welcome