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  1. Insights-from-Twitter Insights-from-Twitter Public

    In this Project, we will use pre-downloaded datasets to understand the nuts and bolts of Twitter Data. In particular, you will do a thorough analysis of a hot-trend.

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    For this project, we will try to predict wine quality using the k-nearest neighbors algorithm in scikit-learn. We will use the Training, validation, and test approach to measure the

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  4. Predicting-Loan-Defaults-with-Decision-Tree-and-Random-Forest-Classifier Predicting-Loan-Defaults-with-Decision-Tree-and-Random-Forest-Classifier Public

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  5. Spam-Email-Classifier-with-Naive-Bayes Spam-Email-Classifier-with-Naive-Bayes Public

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