Coursera's Machine Learning in plain Python
This repository contains my solutions to the programming exercises of the machine learning course on Coursera written in plain Python. The exercise descriptions are stored in the respective subfolders.
Usage
| Excer. | Scripts | Dependencies | Topics |
|---|---|---|---|
| # 1 | ex1.py |
numpy, matplotlib, ex1data1.txt |
linear regression, gradient descent |
| # 2 | ex2.py, pex2-reg.py |
numpy, matplotlib, scipy.optimize, ex2data1.txt |
logistic regression |
| # 3 | ex3.py, ex3-nn.py |
numpy, matplotlib, ex3data1_X.txt, ex3data1_y.txt, ex3data1_Th1.txt, ex3data1_Th2.txt |
neural networks |
About the author
I am a PhD student at TU Delft graduating in January 2018. My research focus is on numerical linear algebra, preconditioning, linear elasticity and model-order reduction. I also have a website.