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Search results for jupyter notebook movielens
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6 search results found
Recommender System Tutorial
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104
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
Movie_recommendation_engine
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16
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
Pyspark Ml Examples
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13
Spark ML Tutorial and Examples for Beginners
Language Model Recommendation
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8
Resources accompanying the "Zero-Shot Recommendation as Language Modeling" paper (ECIR2022)
Exploratory Data Analysis Eda
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6
Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib and Seaborn will be used for data analysis.
Hybrid Recommender System
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6
A repository for a machine learning project about creating a hybrid movie recommender system.
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