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  1. NYT-article-classification NYT-article-classification Public

    A project to classify NYT articles based on the content. Uses Naive Bayes Classifiers and Neural Network. Compares the performances of the Classifiers.

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    Santander Bank's data is analysed to predict which products their existing customers will use in the next month based on their past behavior and that of similar customers.

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  3. Data-Mining Data-Mining Public

    Exercises completed during the coursework of Statistical Data Mining class

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    Blockchain for Data Science and Data Governance

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    CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R

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    Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)

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