- from sklearn.impute import SimpleImputer
- # Impute missing values with the mean
- imputer = SimpleImputer(strategy='mean')
- X_imputed = imputer.fit_transform(X)
- # Create and fit the model with imputed data
- model = LinearRegression()
- model.fit(X_imputed, y)
Tools
- Sandbox
- Paste Code
- Snippets
- Generators
- Checks
- Convertors
[text] G
Viewer
*** This page was generated with the meta tag "noindex, nofollow". This happened because you selected this option before saving or the system detected it as spam. This means that this page will never get into the search engines and the search bot will not crawl it. There is nothing to worry about, you can still share it with anyone.
Editor
Share
Do you find this tool useful? Then share it with your friends or colleagues. This will help us to make our free web tools better.
You can edit this paste and save as new:
Information about embedding
In order to embed this content into your website or blog, simply copy and paste one of the codes provided below.
1. JavaScript Embedding (shows full code, full height depending on amount of lines in paste)
<script src="https://wtools.io/code/embed-js/bUKu"></script>
2. Iframe Embedding (you can set the frame height by adding the CSS value 'height:100px;' for example)
<iframe src="https://wtools.io/code/embed-iframe/bUKu" style="border:none;width:100%"></iframe>