You are here |
www.gregreda.com | ||
| | | |
teddykoker.com
|
|
| | | | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need: | |
| | | |
matbesancon.xyz
|
|
| | | | Learning by doing: detecting fraud on bank notes using Python in 3 steps. | |
| | | |
utkuufuk.com
|
|
| | | | Logistic regression is a simple classification method which is widely used in the field of machine learning. Today were going to talk about how to train our own logistic regression model in Python to | |
| | | |
www.paepper.com
|
|
| |