urmel79 / Jupyter_GettingStarted2ML

This Getting Started Tutorial systematically demonstrates the typical ML work process step-by-step using the powerful and performant Support Vector Classifier (SVC) and the beginner-friendly Iris Dataset. Furthermore, the selection of the correct SVC kernel and its parameters are described and their effects on the classification result are shown.
GNU General Public License v3.0
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More Guides for ML Models #1

Open ChSatyaSavith opened 1 year ago

ChSatyaSavith commented 1 year ago

I would like to add some of my notebooks in your repository, can i?

urmel79 commented 1 year ago

Hi @ChSatyaSavith, you're welcome to do a proposal via a git pull request. Cheers, Bjoern.

urmel79 commented 1 year ago

Hi @ChSatyaSavith, thank you for your pull request. I will look at it in the coming days, but at the moment I am very busy with work and private life. I ask for your understanding. Cheers, Bjoern.

urmel79 commented 1 year ago

Hi @ChSatyaSavith,

thank you for your contribution. I have imported it to a dev branch and had a look at it. This morning I found time to review your new notebook. So here are my thoughts for improvement:

As soon as you have revised your notebook, I will merge it to the "main" branch.

Thank you very much and greetings, Björn.