Metis Project 3: School Closure Classification
Can we identify schools at risk for closure by performance and other characteristics?
The table below provides high-level overviews of what each IPython notebook does. More information (including specific input/ouput data) can be found in each notebooks' header.
|01-school-closure-clean.ipynb||Import raw NCES CCD and EdFacts data, clean, and engineer features.|
|02-school-closure-classify.ipynb||Predict school closures based onperformance and demographic characteristics.|
|03-chool-closure-viz.ipynb||Produce descriptive statistics from cleaned NCES data and compile county-level datafile for d3 maps.|