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Noel6161131110 / repository
Searching and recommending movies using pandas , numpy , scikit-learn and jupyter notebook
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First, we would read the "movies.csv" file using pandas dataframe.Then, we have to clean the Movie Titles using the regex library and then we have to make a (Term-Frequency * Inverse-Document-Frequency) matrix. Then we are making a search function using cosine_similarity in the sklearn library and then we are making a interactive widget in Jupyter Notebook.Thus we have made a search algorithm for searching through movies.
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omar73H /
This repository contains Jupyter notebooks for using a lot of powerful ML algorithms like Linear Regression, Classification, Clustering and similarity, Matrix factorization, Deep learning & deep features and also wonderful applications for them like Predicting house prices, Analyzing sentiment, Retrieving Documents, Recommending systems and Searching for images.
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