limo1996 / eth-datascience Goto Github PK

Write the discussion of data and give an outlook of potential further investigations.

Check more data sets at https://data.stadt-zuerich.ch/(somewhere else as well) and push them to the repository in the folder data/

Think about how to process/evaluate each dataset.

Find questions for the user & prepare the missions so we just have to add the locations to visit.
Questions should be about the good/bad places we found (see if he shares the same impressions as our results).
Questions should be related to the datasets.

Do all the machine learning stuff, push the code into src/ folder and results into results/processed folder.

Draw conclusions from the obtained results.

Write about the data collection and manipulation process.

Write the introduction to the report.

Take the results of the processing and try to create a map of Zürich with areas marked on scale from green(Excellent) to red(poor). Points interpolation to plane. Push the results to src/mapping folder.

Prepare the datasets for process