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minor readme typo edits (#355)
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discdiver committed Jul 19, 2020
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--------

[Surprise](http://surpriselib.com) is a Python
[scikit](https://www.scipy.org/scikits.html) building and analyzing
[scikit](https://www.scipy.org/scikits.html) for building and analyzing
recommender systems that deal with explicit rating data.

[Surprise](http://surpriselib.com) **was designed with the
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[analyse](http://nbviewer.jupyter.org/github/NicolasHug/Surprise/tree/master/examples/notebooks/KNNBasic_analysis.ipynb/)
and
[compare](http://nbviewer.jupyter.org/github/NicolasHug/Surprise/blob/master/examples/notebooks/Compare.ipynb)
the algorithms performance. Cross-validation procedures can be run very
the algorithms' performance. Cross-validation procedures can be run very
easily using powerful CV iterators (inspired by
[scikit-learn](http://scikit-learn.org/) excellent tools), as well as
[exhaustive search over a set of
parameters](http://surprise.readthedocs.io/en/stable/getting_started.html#tune-algorithm-parameters-with-gridsearchcv).


The name *SurPRISE* (roughly :) ) stands for Simple Python RecommendatIon
System Engine.
The name *SurPRISE* (roughly :) ) stands for *Simple Python RecommendatIon
System Engine*.

Please note that surprise does not support implicit ratings or content-based
information.
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