Hello. Could you please help me with this. I need to write a code and build a single layer Perceptron like in the picture. Thank you

Using single layer Perceptron neural network to classify "Iris" data set and use (i)batch gradient descent and (ii) Stochastic gradient descent to adjust the weights and classify "Iris Setosa". Input: data is "Iris" data which is part of Scikit Learn. This is a famous dataset that includes the sepal and petal length and width of 150 Iris flowers of three species: "Iris setosa", "iris versicolor", and "iris virginica". from sklearn.datasets import load_iris iris = load_iris list(iris(keys() Data consists of three type of Iris flowers and four set of features. print(iris.DESCR) (iii) Write a code and build a single layer Perceptron as follows. X1 WO Y Y X2 12 WO X4 X3 X4 Using single layer Perceptron neural network to classify "Iris" data set and use (i)batch gradient descent and (ii) Stochastic gradient descent to adjust the weights and classify "Iris Setosa". Input: data is "Iris" data which is part of Scikit Learn. This is a famous dataset that includes the sepal and petal length and width of 150 Iris flowers of three species: "Iris setosa", "iris versicolor", and "iris virginica". from sklearn.datasets import load_iris iris = load_iris list(iris(keys() Data consists of three type of Iris flowers and four set of features. print(iris.DESCR) (iii) Write a code and build a single layer Perceptron as follows. X1 WO Y Y X2 12 WO X4 X3 X4