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Bij deze het R.proj van de linear regression. Kan je dit documenten?
[linear_regression.R.zip](https://github.com/Wouter1997/investigating-funda/files/6213127/linear_regression.R.zip)
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The more of these features the better. Implement LR with one or more **optimisation** techniques with:
- randomly initialize data of m samples and n features. (could implement a function in js just l…
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Minor suggestion:
Using all the weights (including bias) in regularization might end up in constraining aformentioned bias for non-normilized training data.
e.g:
```
class l1_regularization():
…
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### Description
Providing ID's per dot in scatterplots can help determine outliers
### Purpose
_No response_
### Use-case
_No response_
### Is your feature request related to a problem?
I ran a…
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### Problem
Part of epic https://github.com/probabl-ai/skore/issues/544
When using `skore.cross_validate` with linear regression for example, I can see the following scores in the legend: `test_…
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Checking model assumptions is like commenting code. Everybody should be doing it often, but it sometimes ends up being overlooked in reality. A failure to do either can result in a lot of time being c…
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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…