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  1. EfficientNet-Ensemble-Model EfficientNet-Ensemble-Model Public

    Ensemble model using EfficientNetV2B1 to count number of vehicles and signals in a given image

    Jupyter Notebook

  2. Denoising-Autoencoder-for-Digits Denoising-Autoencoder-for-Digits Public

    An undercomplete autoencoder to remove noise from images of digits using augmented MNIST dataset

    Jupyter Notebook

  3. CNN-for-Image-Classification CNN-for-Image-Classification Public

    Transfer Learning on Mobile Net V2 to determine whether an image contains a person (pnp)

    Jupyter Notebook

  4. RNN-for-Weather-Forecasting RNN-for-Weather-Forecasting Public

    RNN model to predict weather for next 24 hours. Result comparison with baseline models.

    Jupyter Notebook

  5. CNN-Discriminator CNN-Discriminator Public

    CNN model to discriminate between an actual image and a image generated from the same caption

    Jupyter Notebook

  6. Lead-Scoring-Case-Study Lead-Scoring-Case-Study Public

    Data Science Case Study: To help X Education select the most promising leads (Hot Leads), i.e. the leads that are most likely to convert into paying customers.

    Jupyter Notebook