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README.md

+
+Computer Science & Engineering,
+IIT Bombay
+
+CS725(Fundamentals of Machine Learning) Project November 23, 2019
+
+Team Members:
+	Rajat Bhakoria(193050089)
+	Zahid Wakeel(193050076)
+	Monica Sroha(193050087)
+	Axel James(193050049)
+
+Project Name:
+	Sound Classification using Deep
+
+Objective:
+	Our objective is classification of environmental sounds by applying deep learning techniques. When given an audio sample of few duration, in (.wav) format, we want to
+determine if it contains one of the target sound with corresponding classification accuracy score . We will be using a dataset, ’UrbanSound8K’ which contains 8732 sounds
+classified in 10 classes. We will use Convolutional Neural Network and train the model
+with the training dataset and make predictions for test dataset.
+
+Team Member contributions:
+1. Rajat Bhakoria: Emsembling, ANN, prediction model, tuning hyperparameters
+2. Monica Sroha: Random Forest, PPT, graph plots, tuning hyperparameters
+3. Axel James: CNN, prediction model, tuning hyperparameters
+4. Zahid Wakeel: SVM, Report, tuning hyperparameters