Use the code example provided in Week $7$ about the Iris dataset and run

the code on your machine to make sure the algorithm can classify Iris flowers into two species: Iris Setosa and

Iris Versicolour, using sepal and petal measurements. You must have the basic requirements in your notebook,

such as TensorFlow, Keras, and Scikit$-$learn

Specifically, you must:

a$.$ import all libraries

b$.$ Load and Prepare the Iris Dataset

c$.$ Split the dataset into training and test sets

d$.$ Scale Features

e$.$ Build the ANN Model $($Initialize the ANN model, add the input layer and a hidden layer, add the output layer,

compile the model, train the model

f$.$ Train the model on the training set

g$.$ Evaluate the model

i$.$ Evaluate the model on the test set

j$.$ In the last cell, enter only text to discuss the model's performance on the test set and report the accuracy.

k$.$ Also, after trying several scenarios, discuss how different hyperparameters $($like number of epochs, batch size,

and number of units in the hidden layer$)$ might affect the model's performance.