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1. als-recommender-pyspark als-recommender-pyspark Public

   Recommender System is an information filtering tool that seeks to predict which product a user will like, and based on that, recommends a few products to the users. For example, Amazon can recommen…

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2. Named-Entity-Recognition Named-Entity-Recognition Public

   Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities m…

   Jupyter Notebook 29 11

3. bow_tfidf bow_tfidf Public

   This project follows the traditional techniques like the Bag of Words and tf-idf to represent words in a corpus in a numeric format for multilabel classification.

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4. Naive-Bayes-Spam-Classifier-on-PySpark Naive-Bayes-Spam-Classifier-on-PySpark Public

   Spam detection is one of the major applications of Machine Learning in the interwebs today. Most of the email service providers have spam detection built in to automatically classify such mails as …

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5. MovieLens_Exploratory MovieLens_Exploratory Public

   The purpose of this study is to look at the distribution of ratings, movie and users over time, impact of user mood on average rating score and average rating score of genre over time. The analysis…

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6. collaborate-github collaborate-github Public

   In this article we will walk through the steps involved in collaborating over vcs to version control and proof read their codes.

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