Python Data Science Handbook [PDF]

PDF Preview:

Python Data Science Handbook - Jake VanderPlas - indianpdf.com_ PDF Book Online - Download Free

PDF Title : Python Data Science Handbook
Total Page : 548 Pages
Author: Jake VanderPlas
PDF Size : 21.3 MB
Language : English
Source :
PDF Link : Available

Here on this page, we have provided the latest download link for Python Data Science Handbook PDF. Please feel free to download it on your computer/mobile. For further reference, you can go to

Python Data Science Handbook

The fact that GMM is a generative model gives us a natural means of determining the optimal number of components for a given dataset.

A generative model is inherently a probability distribution for the dataset, and so we can simply evaluate the likelihood of the data under the model, using cross-validation to avoid overfitting.

Another means of correcting for overfitting is to adjust the model likelihoods using some analytic criterion such as the Akaike information criterion (AIC) or the Bayesian information criterion (BIC).

Scikit-Learn’s GMM estimator actually includes built-in methods that compute both of these, and so it is very easy to operate on this approach.

Python Data Science Handbook PDF

Why you should buy from amazon? It is always better to buy books in order to support the authors and publishers. As the hard-working writer diligence should be paid off.

Know more about our initiative

Help us to serve you better. Rate this PDF
[ Total: 5 | Average: 4 ]

If you find this PDF violating your rights, and you want to unpublish it, Please Contact-Us / DMCA.