I have an assaignment from from Machine Learning: Deep Learning and Neural Networks with$$Keras course $($coursera$)$ Peer$-$graded Assignment: Build a Regression Model in Keras. We use Phyton code and do it in either JUPYTER NOTEBOOK or JUPYTERLAB. I tried so many codes and they all gave error, and could not execute any output even if I fixed the errors. Can you write me the codes for this assaignment? PLEASE HELP $!!$ You can also take it from github or another source ON THE CONDITION OF CHANGING THE CODE. Here is the instruction: Here is the instructions: In this course project, you will build a regression model using the deep learning Keras library, and then you will experiment with increasing the number of training epochs and changing number of hidden layers and you will see how changing these parameters impacts the performance of the model. Grading Criteria Overview: This assignment will be marked by your peers and will be worth $20\%$ of your total grade. The breakdown will be:

Part A: $5$ marks

Part B: $5$ marks

Part C: $5$ marks

Part D: $5$ marks Step$-$by$-$step Assaignment Instructions: $1.$ Assignment Topic:

In this project, you will build a regression model using the Keras library to model the same data about concrete compressive strength that we used in labs $3.$

$2.$ Concrete Data:

For your convenience, the data can be found here again:

https:$//$cocl$.$us$/$concrete$\_$data. To recap, the predictors in the data of concrete strength include:

Cement

Blast Furnace Slag

Fly Ash

Water

Superplasticizer

Coarse Aggregate

Fine Aggregate

$.$ Assignment Instructions:

Please check the My Submission tab for detailed assignment instructions.

$4.$ How to submit:

You will need to submit your code for each part in a Jupyter Notebook. Since each part builds on the previous one, you can submit the same notebook four times for grading. Please make sure that you:

$1.$ use Markdown to clearly label your code for each part,

$2.$ properly comment your code so that your peer who is grading your work is able to understand your code easily,

$3.$ include your comments and discussion of the difference in the mean of the mean squared errors among the different parts. $!!!$PLEASE MAKE SURE THE CODE WORKS WITHOUT ANY ISSUE AND GIVES OUTPUTS. AND AS IT MENTIONED IN THE DESCRIPTION: $!!!$Include the comments and discussion of the difference in the mean of the mean squared errors among the different parts. $!!!$ IF YOU TAKE the CODE FROM GITHUB OR ANYWHERE PLEASE CHANGE IT$!!$ Otherwise, it will fail the SIMILARITY test. Thank you in advance. I attached some example outputs from an example code please look at them. It is how it should be: