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Resampling and Regularization | Data Science with Marco

2020-05-31 Science & Technology
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Data Science with Marco
Data Science with Marco
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Description

Get the notebook and the dataset: https://github.com/marcopeix/datasciencewithmarco 📚 Theory: 0:00 - 5:17 🐍 Code: 5:18 - 14:40 In this video, we cover resampling and regularization in Python. We cover 3 different approaches to resampling: validation set, leave-one-out cross-validation (LOOCV) and k-fold cross-validation. Then, we introduce two resampling methods: ridge regression and lasso. Finally, we apply all those methods in Python and see how they can improve our models. Follow me on Medium for data science articles: https://medium.com/@marcopeixeiro

Top Comments (4)

@rionazhang3718 2020-10-17

Hello, why do you not do train_test_split here but did in portfolio project?

0 1 replies
@cs013 2021-01-01

As a Data Scientist is there any need to perform resampling? Explain it.

0 1 replies
@bkpusprajkumar8744 2020-09-16

Can you explain the resampling and regularization with Classification model.

0
@sauravroy3420 2020-05-31

I am a follower of you. How can I contact you ?

0

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