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This repository contains assignments from my Deep Learning coursework, with each file addressing specific problem statements. Below, you'll find a detailed list of the uploaded files along with their corresponding problem descriptions

  1. BostonPricePrediction.ipynb - Linear regression by using Deep Neural network: Implement Boston housing price prediction problem by Linear regression using Deep Neural network. Use Boston House price prediction dataset.
  2. CNNFashionClassifier.ipynb - Convolution Neural Network(CNN) Use MNIST Fashion Dataset and create a classifier to classify fashion clothing into categories.
  3. IMDBMovieReview.ipynb - Binary classification using Deep Neural Networks Example: Classify movie reviews into positive" reviews and "negative" reviews, just based on the text content of the reviews. Use IMDB dataset

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