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All Blog Posts Tagged 'scikit-learn' (5)

New book: Machine Learning Algorithms Second Edition

The second edition (fully revised, extended, and updated) of Machine Learning Algorithms has been published (Packt).

From the back cover:

Machine learning has gained tremendous popularity for its…

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Added by Giuseppe Bonaccorso on September 2, 2018 at 7:18am — No Comments

New Book: Mastering Machine Learning Algorithms

The book "Mastering Machine Learning Algorithms" has been published by Packt 

From the back cover:

Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more…

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Added by Giuseppe Bonaccorso on June 15, 2018 at 6:30am — 2 Comments

How to automatically create Base Line Estimators using scikit learn.

For any machine learning problem, say a classifier in this case, it’s always handy to create quickly a base line classifier against which we can compare our new models. You don’t want to spend a lot of time creating these base line classifiers; you would rather spend that time in building and validating new features for your final model. In this post we will see how we can rapidly create base line classifier using scikit learn package for any dataset.…

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Added by Gopi Subramanian on June 6, 2017 at 9:30am — No Comments

Classification with scikit-learn

For python programmers, scikit-learn is one of the best libraries to build Machine Learning applications with. It is ideal for beginners because it has a really simple interface, it is well documented with many examples and tutorials.

Besides supervised machine learning (classification and regression), it can also be used for clustering, dimensionality reduction, feature extraction and engineering,  and pre-processing the data. The interface is consistent over all of these methods, so…

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Added by Ahmet Taspinar on May 26, 2017 at 4:30am — 1 Comment

What's That Beer Style? Ask a Neighbor, or Two

Beer is delicious but it is not one thing. If you disagree with the former part of the previous sentence please keep the latter in mind[1]. Think of sports, for instance. Many would agree with the blanket statement "sports are fun" but depending on what you have in mind two people can easily have opposite reactions to being presented the opportunity to play ping-pong. Sports are not one thing, music is not one thing, and neither is beer.

Presented with a finely crafted brew in…

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Added by Reginald Eps on September 28, 2016 at 10:30am — No Comments

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