BUS2410 - Management Information Systems & Neural Network With Linear Regression - IT Assignment Help

Assignment Task

Introduction
You are given a dataset that contains 150 different houses in Bangalore in India. This dataset containssome features of those houses like the area, number of bedrooms and so on. This dataset at the end contains the prices of each house. The dataset is divided into two sets: a training set containing 130 housesand a testing set containing 20 houses.In this tutorial you will train two different models that can predict the price of a given house and compare between them in terms of the SSE.
Neural Network
Neural network is a network that is composed of some neurons which is analogous the neurons in the human brain. A neuron represents the simplest cell of a human brain which is analogous to the simpleststructure or function ina neural network.In this tutorial we are going to use neural networks for our model for predicting the price of a house basedon some inputs. This tutorial will include two parts. The first part involves modeling the dataset with a
single neuron. The second part of this labs involves modeling the dataset with two layers in which each contains a single neuron. At the end we will compare the error in both models
Steps For One Layer Network (Linear Regression)

•  Open the excel file.
•  Open the “Bangalore_One_Layer” sheet
•  The training set is from row 3 to row 132
•  The testing set is from row 134 to row 154
•  Normalize the price values by dividing the whole dataset prices on the maximum price value in the training set (I3:I132)
• Put random values using RAND() for the different weights and the bias in cells (P2:P9)
• In the “predicted price normalized” column write the equation.
• Calculate the square-error which is the (predicted price normalized – normalized price)
• Calculate the SSE for the training set and put it in P12 and for the testing set and put it in P14
• Calculate the “Predicted Price” by multiplying the “predicted price normalized” by the maximum price of the training set .
• Using the Solver function minimize the SSE value in P12
• Record the testing set SSE in P14.

This BUS2410 - IT Assignment has been solved by our IT Experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.

Be it a used or new solution, the quality of the work submitted by our assignment Experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.