July 2019
Beginner to intermediate
298 pages
7h 20m
English
Content preview from Hands-On Ensemble Learning with Python
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Using Keras for movie recommendations
In this section, we will utilize Keras as a deep learning framework in order to build our models. Keras can easily be installed by using either pip (pip install keras) or conda (conda install -c conda-forge keras). In order to build the neural networks, we must first understand our data. The MovieLens dataset consists of almost 100,000 samples and 4 different variables:
- userId: A numeric index corresponding to a specific user
- movieId: A numeric index corresponding to a specific movie
- rating: A value between 0 and 5
- timestamp: The specific time when the user rated the movie
A sample from the dataset is depicted in the following table. As is evident, the dataset is sorted by the userId column. This can ...
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