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This issue is to track the work we need to do before we can merge `sample-props` branch into `main`:
- [x] Based on this prototype: https://github.com/scikit-learn/scikit-learn/pull/16079
- [x] Me…
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Add a tutorial for `scikit-learn` models, e.g. Logistic regression, SGDClassifier, etc, with `fit` and `partial_fit`.
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**Feature functionality**
Remove the scattered references to scikit learn (in the docstrings) and replace it with a BSD-3 clause reference.
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Standard workflow:
https://docs.github.com/en/actions/use-cases-and-examples/building-and-testing/building-and-testing-python#publishing-to-pypi
We should start using Github (release)[https://docs…
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**preprocessing.StandardScaler**
```python
>>> from sklearn.preprocessing import StandardScaler
>>> data = [[0, 0], [0, 0], [1, 1], [1, 1]]
>>> scaler = StandardScaler()
>>> print(scaler.fit(da…
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I tried to compare the speed difference of the same model on CPU and GPU. Here is my code:
```
import numpy as np
import pandas as pd
import time
import cudf
import cupy as cp
from cuml.linear_model i…
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* Connection to machine learning
* https://scikit-learn.org/stable/modules/linear_model.html
* https://stackoverflow.com/questions/32660231/how-to-fit-a-polynomial-curve-to-data-using-scikit-learn
…
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Is there a reason why the library doesn't offer a scikit-learn compatbile API? A class that can work via the `fit_transform()` API?
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O Programming Historian em Português recebeu a proposta de tradução da lição [Clustering with Scikit-Learn in Python](https://programminghistorian.org/en/lessons/clustering-with-scikit-learn-in-python…
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# Mengaplikasikan Perceptron Dengan Scikit-learn Library | fastpages
Perbincangan berkenaan penggunaan perceptron menggunakan sklearn library dan python
[https://megatazm.github.io/MyDLBlog/deep%20l…