build an experiment for a group of 80 patients and 7 variables using Azure Machine Learning.

I have the 80 data cases, already prepared and classified into 7 categorical variables. (Except age that needs to be grouped.) (Variables are: age, sex, obesity, hypertension, diabetes, tobacco, and pulmonary disease.)

Using AZURE Machine Learning platform with some algorithm (which could be: “Boosted Decision tree”, or the one that suits better)

After the training process, I want to predict the probability for the selected “target variable".

Using the predictive webservice, I will place “new values" on each variable field and the system will gives me the probability for the chosen “target variable”. That’s it

I can give an example

The expected product:

I need the azure experiment files (all the appropriate boxes already tunned ) for the training and the predictive modules running and the related webservice working as well. Just that !

Skills: Azure, Machine Learning (ML), Statistical Analysis

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Project ID: #19221161

6 freelancers are bidding on average $157 for this job


Hi, I'm good at statistics and machine learning and can help I have skills in Azure, Machine Learning, Statistical Analysis

$200 USD in 3 days
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Hi, I hope you are doing good. well regarding this project, I have extensive 8+ years of experience in Machine learning projects using Python. I will work with efficient and correct way. Give me work, I will surel More

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