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Problem Description:
The aim is to build a model that predicts the selling price of a car based on features such as age, fuel type, seller type, transmission, etc. This problem is critical for car de…
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## Link to Canvas
## Issue Subtype
- [ ] Master branch code
- [ ] Solution branch code
- [ ] Code tests
- [ ] Layout/rendering issue
- [ ] Instructions unclear
- [ ] Other (explai…
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We recently merge two examples and the resulting example is shown here: https://scikit-learn.org/dev/auto_examples/linear_model/plot_lasso_lasso_lars_elasticnet_path.html
This example should be rev…
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Can I add few more algorithms?like lightgbm,catboost,arima etc
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LASSO regression is a useful technique for building sparse models and aiding in variable selection. Suggest we implement it as an alternative to the existing methods.
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I don't see any lasso regression model in linear models.Can i implement the lasso regression model?
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Reference - [https://corporatefinanceinstitute.com/resources/data-science/elastic-net/#:~:text=What%20is%20Elastic%20Net%3F,the%20regularization%20of%20statistical%20models.](url)
Elastic Net is a …
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It would be nice to support the [Benchopt](https://github.com/benchopt/benchopt) problem suite, which is also available in Python:
- [ ] Ordinary Least Squares
- [ ] Non-Negative Least Squares
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Train the lass regression model:
1. pull from the branch:
![image](https://user-images.githubusercontent.com/5897919/83253362-b8a5e180-a161-11ea-876b-21fac49b7e42.png)
2. find the folder in …