Skip to main content

All Questions

Filter by
Sorted by
Tagged with
3 votes
0 answers
149 views

Automated machine learning training and evaluation in Sagemaker with XGBoost

This code aims to make very easy to train new models in SageMaker and quickly decide whether a new feature should be introduced in our model or not, getting metrics (recall, accuracy and so on) for a ...
Javier Lopez Tomas's user avatar
6 votes
1 answer
1k views

Python class for organizing images for machine learning

I built a class to help me handle image data to use in machine learning. I thought that there would be a pre-existing package that did what I wanted but I couldn't find it so I wrote this. I am not ...
jss367's user avatar
  • 476
8 votes
2 answers
518 views

Univariate linear regression from scratch in Python

I am relatively new to machine learning and I believe one of the best ways for me to get the intuition behind most algorithms is to write them from scratch before using tons of external libraries. ...
maufcost's user avatar
  • 379
6 votes
1 answer
455 views

Python Perceptron

This is my finished perceptron written in python. Is there anything that I can improve/suggestions? I'm a beginner with python so anything would be helpful! ...
iamPres's user avatar
  • 63
4 votes
0 answers
75 views

sk-learn like model

I am trying to make a simple model that returns the conditional expectation of a target with respect to the value observed for another variable. Basically, given a feature \$F\$, a level of this ...
RUser4512's user avatar
  • 1,135
4 votes
2 answers
900 views

C++ and STL - Machine Learning Problem

I would like to get some general comments on style and use of STL in particular. This is some code I wrote to do machine learning classification (logistic regression). Any suggestions would be very ...
padawan's user avatar
  • 605