Inspired by the following blogs, this is a simple hands on session to be used as an introduction to machine learning starting with logistig regression.
- Blog post explaining logreg from scratch in short
- Github repo jupyter-notebook logreg from scratch
- ayearofai intro mashine learning and logreg
- ayearofai deep dive in logreg
There are two jupyter notebooks provided in this repository: A hopefully self-explaining full presentation notebook and a almost blanck notebook to start with in the session.
The notebooks require numpy, matplotlib, sklearn and optionally tensorflow.
The simples way to use them on all platforms is Anaconda