Nowadays, using simple machine learning algorithms is as easy as import knn from ... but it doesn't make sense if you really want to learn how this algorithms work and how to write them. Therefore, I'm trying to write this algorithms using none of ML Libraries. (I only use the mathematics libraries and sometimes plotting libraries.)
forked from CihanBosnali/Machine-Learning-without-Libraries
-
Notifications
You must be signed in to change notification settings - Fork 0
molouh/Machine-Learning-without-Libraries
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
K-Means Clustering is a Machine Learning technique used in unsupervised learning. I wrote this algorithm without using any Machine Learning Libraries such as scikit-learn etc.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
Languages
- Jupyter Notebook 85.3%
- Python 9.9%
- Swift 4.8%