Explore >> Select a destination
|
You are here 
|
matbesancon.xyz | ||
| | | | |
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 | |
| | | | |
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: | |
| | | | |
austinrochford.com
|
|
| | | | | Splines are a powerful tool when modeling nonlinear relationships. This post shows how to include splines in a Bayesian model in Python using pymc3. In addition, we will show how to use a second splin | |
| | | | |
codeincomplete.com
|
|
| | | Personal Website for Jake Gordon | ||
