Questions $($See scripts in Lecture $10)$

Question No$.1$

$1-$ Startup Anaconda Navigator

$2-$ Launch Spyder IDE

$3-$ Create a new $.$py file, choose "File$->$New file...". This will open a blank page where you can begin to type commands.

$4-$ Write a python code to build a regressor for "concrete$\_$data.csv$"$ dataset with neural networks using Keras

$5-$ Save the file with the name $"$

regression.py$"$

$6-$ Run the file by pressing $($F$5)$ or the green arrow at the top of Spyder IDE.

$7-$ capture your entire screen by pressing on PrtSen, then paste the screenshot into a word file "Assignment$4.$docx"

Question No$.$

$8-$ Startup Anaconda Navigator

$9-$ Launch Spyder IDE

$10-$ Create a new $.$py file, choose "File$->$New file...". This will open a blank page where you can begin to type commands.

$11-$ Write a python code to build a classifier for "iris$\_$data.csv$"$ dataset with neural networks using Keras

$12-$ Save the file with the name $"$

classification.py$"$

$13-$ Run the file by pressing $($F$5)$ or the green arrow at the top of Spyder IDE.

$14-$ capture your entire screen by pressing on PrtSen, then paste the screenshot into a word file "Assignment$4.$docx"