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1. Human-Activity-Detection Human-Activity-Detection Public

   Classify 6 different human tasks such as sitting, standing etc. based on inputs from sensors.

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2. Various-MLP-architectures-for-MNIST-dataset Various-MLP-architectures-for-MNIST-dataset Public

   Implement various MLP architectures by varying the number of hidden layers, adding and removing Dropouts and Batch Normalization to observe the model performance

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3. Analysis-of-Amazon-Fine-Food-Reviews Analysis-of-Amazon-Fine-Food-Reviews Public

   Predict review polarity by performing analysis on Amazon Fine Food Reviews dataset while applying various machine learning algorithms and clustering techniques.

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4. Manual-implementation-of-Stochastic-Gradient-Descent Manual-implementation-of-Stochastic-Gradient-Descent Public

   Manually implement Stochastic Gradient Descent and perform Linear Regression on Boston housing data and compare with sklearn's implementation of Linear Regression.

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5. Various-CNN-networks-on-MNIST-dataset Various-CNN-networks-on-MNIST-dataset Public

   Implement various CNN architectures on MNIST dataset with variations from different number of convolutional layers, kernel size, Dropouts, Batch normalization

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6. Personalized-Cancer-Treatment Personalized-Cancer-Treatment Public

   Predict the effects of genetic variations to enable interpretable Personalized Cancer diagnosis

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