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Evaluating k-nearest neighbors and singular value decomposition techniques for collaborative filtering recommender systems

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A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

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基于movielens数据集的电影推荐系统

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Movie recommendations

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Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

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Autofilter with imdb bot || broakcast , imdb poster and imdb rating

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Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique

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Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique

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Predict movie's IMDB rating

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本次数据分析选择数据集是tmdb-movies.csv文件，数据集包含了截止到2015年的TMBb电影统计数据，应用python数理统计和绘制可视化图表的方法进行数据分析，来回答：1）每年最受欢迎的电影类别是哪些？ 2）票房高的电影有哪些特点？

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