Task 1: - Preprocessing
Complete the function prepare_dataset that loads the data records from the text file, and converts the information to numpy arrays.
Complete the build_ * _classifier functions. There are four functions of this type to implement in the provided python file (nearest neighbours, decision trees, neural networks and support vector machines).
These classifiers have hyperparameters that affect the capacity/complexity of the classifier, you should use cross-validation to estimate the best value of one of these hyperparameters for each type of classifier. In this assignment, for the sake of time, we only consider one hyperparameter per classifier. You are free to choose the hyperparameter, but here are some suggestions;
Introduction:-Neural Networks are parallel computing device which is design to attempt the computer model for the brain. The main task of this networks is to perform better and do work faster as compare to human beings. ANN(Artificial Neural Network) is more better to compute the task because it directly connected to the central theme is borrowed from analogy of the biological neural networks..
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