Jupyter Notebook movie-recommendation Projects
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YPDL-Build-a-movie-recommendation-engine-with-TensorFlow
In this tutorial, we are going to build a Restricted Boltzmann Machine using TensorFlow that will give us recommendations based on movies that have been watched already. The datasets we are going to use are acquired from GroupLens and contains movies, users, and movie ratings by these users.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook movie-recommendation related posts
Index
Project | Stars | |
---|---|---|
1 | MovieRecommender | 32 |
2 | YPDL-Build-a-movie-recommendation-engine-with-TensorFlow | 8 |
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