Machine Learning Project

Working with 4 different datasets that all have race/ethnicity as an attribute. My goal is to see if a different attribute such as income can predict the race/ethnicity attribute. The language this needs to be done is python 3 or 2 since they have useful machine learning packages such as scikit. I am allowed to use whatever machine learning algorithms such as logistic regression, neural networks, decision trees etc to try to predict the race/ethnicity attribute. 

These are the 4 different datasets I am looking at, and what potential attributes I can use to see if it can predict race/ethnicity. 

1. Adult Data Set

This dataset includes education, marital status, relationship, and of course race as some of the attributes.

https://archive.ics.uci.edu/ml/datasets/Adult

2. Drug Consumption (quantified) Data Set

This dataset includes education and ethnicity. I can use this dataset to see if education can predict the ethnicity.

https://archive.ics.uci.edu/ml/datasets/Drug+consumption+%28quantified%29

3. Students Performance in Exams

In this dataset I’d like to see if the parental level of education can predict the race/ethnicity

https://www.kaggle.com/spscientist/students-performance-in-exams

4. PISA Test Scores

In this dataset there are multiple attributes that I can test to see if it can predict race, such as motherBachelors, fatherBachelors, mothersHS, and fathersHS.

https://www.kaggle.com/econdata/pisa-test-scores



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