10 lines
639 B
Markdown
10 lines
639 B
Markdown
|
|
||
|
Weka is a data mining and machine learning tool. Processes and helpful documentation tips will be noted on here.
|
||
|
|
||
|
---
|
||
|
|
||
|
|
||
|
[Here](https://towardsdatascience.com/getting-started-with-weka-3-machine-learning-on-gui-7c58ab684513) is a medium article about getting started:
|
||
|
|
||
|
1. Preprocessing:
|
||
|
- For binning you must use the [discretization](https://www.cs.waikato.ac.nz/ml/weka/mooc/moredataminingwithweka/slides/Class2-MoreDataMiningWithWeka-2014.pdf) filter which you can learn about [here](https://machinelearningmastery.com/transform-machine-learning-data-weka/) and [here](https://waikato.github.io/weka-wiki/discretizing_datasets/)
|