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EfficientNet-Ensemble-Model
EfficientNet-Ensemble-Model PublicEnsemble model using EfficientNetV2B1 to count number of vehicles and signals in a given image
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Denoising-Autoencoder-for-Digits
Denoising-Autoencoder-for-Digits PublicAn undercomplete autoencoder to remove noise from images of digits using augmented MNIST dataset
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CNN-for-Image-Classification
CNN-for-Image-Classification PublicTransfer Learning on Mobile Net V2 to determine whether an image contains a person (pnp)
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RNN-for-Weather-Forecasting
RNN-for-Weather-Forecasting PublicRNN model to predict weather for next 24 hours. Result comparison with baseline models.
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CNN-Discriminator
CNN-Discriminator PublicCNN model to discriminate between an actual image and a image generated from the same caption
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Lead-Scoring-Case-Study
Lead-Scoring-Case-Study PublicData 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.
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