Mindful Machines

Introduction and background In this article, we are going to build the regression model from neural networks for predicting the price of a house based on the features. Here is the implementation and the theory behind it. The neural network is basically if you see is derived from the logistic regression, as we know that in the logistic regression: Formulae for Logistic Regression:  y = ax+b so for every node in each layer, we will apply it and after this output is from the activation function which will have the input from logistic regression and the output is output from the activation function. So now  w e will implement the neural  network  with 5 hidden layers. Implementation 1. Import the libraries which we will going to use 2. Import the dataset and check the types of the columns 3. Now build your training and test set from the dataset. 4. Now we have our data we will now make the model and I will describe to you how it will predict the price. Here we are making...