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Thank you for creating the package, it's easy to use and the examples are very useful. I want to perform stepwise linear regression using backward elimination to find the optimal model based on the r-…
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Feedback for the Linear Regression chapter
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In the diamonds dataset, I regress price on x. After that I go to the plot tab. I choose scatter plot but it gives me this error:
![image](https://github.com/radiant-rstats/radiant/assets/54371813…
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Hello,
In the tutorials Logistic Regression model is built using the Tenseal for a Classification problem. I'm planning to implement with Linear Regression using Tenseal for a Regression Dataset. I…
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- Use only NumPy; not scikit-learn
- Use either randomly generated dataset or simple dataset from kaggle
- Pls include EDA section in your notebook for the chosen dataset
- Comment on inferences an…
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Hi, first of all, thanks for the interesting work and useful package. I've been playing around with this in Seurat and have found it immensely useful. However, my primary environment is Python, and th…
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Add column to data table (before the other parameters).
Add [1] to your parameter list, before multiplying it with the coefficients.
If you want to, change the 3by3 to 4by4 or x_squared (x times x t…
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