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**Description**:
Hi ,I found a potential issue regarding license violation in the [perceptron.py](https://github.com/sarahhoogstraten/CMSE202-f23-turnin/blob/main/hw-04/perceptron.py) . The [Perce…
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Related Resource one can follow :-
https://towardsdatascience.com/svm-implementation-from-scratch-python-2db2fc52e5c2
https://www.python-engineer.com/courses/mlfromscratch/07_svm/
https://pythonp…
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do you have xgboost classifier in
https://github.com/eriklindernoren/ML-From-Scratch/blob/master/mlfromscratch/supervised_learning/xgboost.py
but not regression?
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I had implemented my own svm based on your implementation. Wierdly, the accuracy was very low.
I copied your code and use sklearn has a benchemark. Your svm implementation gives me back almost rando…
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I greatly appreciate your work and clearly written code which gives incredible insights into the back propagation technique. I've encountered a bit of a bug which is pretty solvable, but I don't want…
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Hi, I am reimplementing ml algorithms based on yours
But I am a little confused about the part of the calculation of Moore-Penrose pseudoinverse in linear regression.
https://github.com/eriklin…
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First of all thanks for the great reference, you've been created and it performs well in its current format.
But, Is it acceptable to use covariance matrices instead of scatter matrices in LDA?
sh…
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great code
but can you add code for intercept /bias to regressions
like
https://github.com/eriklindernoren/ML-From-Scratch/blob/master/mlfromscratch/examples/lasso_regression.py
for example you…
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* **I'm submitting a ...**
[/] feature request
* **Summary**
An AdaBoost classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of…
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Hi all,
If everything is in check, we can open a **pull request** to include this as a variant of N-beats.
I am interested in the **`SELU` activation function** for Self-Normalizing-Networks (SN…