CMP7229 - Deep Learning & Optimization - IT/Computer Science Assignment help

Assignment Task

1. Description  

Deep learning is widely use to support medical diagnosis such as cancer prediction, diabetes prediction  and x-ray categorisation. This challenge is designed to predict the possibility to have diabetes based  on past medical records.  

You are given a data set which contains patient medical records of Pima Indians and whether they had  an onset of diabetes within five years. Using these data build and optimise a model to predict the  possibility to have diabetes

2. Data set  

Within the data folder, there are 2 .csv files which are named as “train.csv” and “test.csv”. The  details of the attributes mentioned in both files are as follows.  

• A1 - Number of times pregnant 

• A2 - Plasma glucose concentration a 2 hours in an oral glucose tolerance test • A3 - Diastolic blood pressure (mm Hg) 

• A4 - Triceps skin fold thickness (mm) 

• A5 - 2-Hour serum insulin (mu U/ml) 

• A6 - Body mass index (weight in kg/(height in m)^2) 

• A7 - Diabetes pedigree function 

• A8 - Age (years)

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