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Customer Segmentation Using Unsupervised Machine Learning Algorithms
Example of an inverse problem where the aim is to reconstruct the parameters of an unknown number of weighted Gaussian function
Fast prototyping of machine learning models
Exploration of various SVMs
Experiment with different optimizer, layers, filters, regularization for Y-Net(CNN) with CIFAR 10 and CIFAR 100 dataset
Example of Neu.ro integration with NNI for hyperparameter tuning
Insights into how the error varies with change in K while performing k-fold Cross Validation
Implement Neural Network Models with different hyperparameters