Class ID:30 , Group ID=11

Sandeep Meesala

Use the use case in the class:

a.Add moreDense layersto the existing code and check how the accuracy changes. 2.Change the data source to Breast Cancerdataset * available in the source folder and make required changes 3.Normalize the data before feeding the data to the model and check how the normalization change your accuracy (code given below). from sklearn.preprocessing import StandardScaler sc=StandardScaler()

Code:

Task1

https://github.com/sandy777deep/PYTHON_WITH_DEEPLEARNING/blob/master/DeepLearning_Lesson1/Diabetes.py

Output

Task2

https://github.com/sandy777deep/PYTHON_WITH_DEEPLEARNING/blob/master/DeepLearning_Lesson1/BreasCancer.py

Output

Task3

https://github.com/sandy777deep/PYTHON_WITH_DEEPLEARNING/blob/master/DeepLearning_Lesson1/BreastCancer.py

Output