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  1. CatsVsDogsCNN CatsVsDogsCNN Public

    Simple CNN Project on CatsVsDogs dataset used Different regularization techniques like BatchNormalization, Dropout and Flatten to improve accuracy. Got final validation accuracy at 80% with just 3 …

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    Disaster management using twitter data. The following scripts contain implementation of Bidirectional LSTM architecture to predict whether a tweet is corresponding to an actual disaster or not.

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    BiLSTM model to predict an internal state when given the external state. Also making it into an API and doing stress tests.

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    This is an Attrition prediction model which uses the IBM HR Analytics Employee Attrition & Performance dataset.

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