Dataset Classification via Neural Networks

  Q1 Iris Dataset Classification via Neural Networks Classify the IRIS data set via Artificial Neural Networks ANN https://www.kaggle.com/azzion/iris-data-set-classification-using-neural-network/data a.Compute the Confusion Matrix and Accuracy for the ANN b.Compare the performance with a Naïve Bayes Classifier Q2 Go through the Google Machine Learning Crash Course (free) https://developers.google.com/machine-learning/crash-course And write a paper describing the following exercises: a.Explain the stochastic gradient descent algorithm for reducing loss https://developers.google.com/machine-learning/crash-course/reducing-loss/gradient-descent b.With the playground exercise explain the relationship between learning rate and convergence https://developers.google.com/machine-learning/crash-course/reducing-loss/playground-exercise c.Explain the anatomy of a neural network in your paper https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/anatomy d.Review playground exercises on neural networks and explain in your paper https://developers.google.com/machine-learning/crash-course/introduction-to-neural-networks/playground-exercises Review the course in your paper and explain how it helps in understanding what neural networks are