This is the second part of a series of ten lessons that will overview basics of neural networks with Python. The first part can be referenced here. As indicated in the lesson plan video, the first two parts cover linear and logistics regression to build intuition.

Part II : Logistics Regression

Link to the code notebook:

https://anaconda.cloud/share/notebooks/e5ca4371-4a79-4e7a-a59f-0c7d7f5b1c2f/overview


Leave a comment