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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