Machine learning Python task

Closed Posted 3 months ago Paid on delivery
Closed Paid on delivery

you will work on redistricting the Congressional map for New


You are also provided with the map for New Hampshire as it is a smaller state, with only

two districts, that you can use as a sandbox. Various functions and algorithms for NH

will be provided to you in recitation ([login to view URL]). You can base

your work on NJ on these. We also provide a NJ-centric Python notebook, with an

example map, as a starting point. ([login to view URL]).

Your goal is to produce two maps:

● One map should be as fair as possible

● One map should be designed to give a party/community/area some

advantage (unfair map) using some creative gerrymandering techniques. The

less likely the map would be to be thrown out of courts for obvious

gerrymandering, the better.

The NJ State Assembly has 12 districts. You can see the current (2022) map here:

[login to view URL]::6ff0b024-2e5d-4e9b-ba0e-56f6de17ea80

Links to an external site.

We are providing you with various datasets and tools to assist you. All are in


● A pdf that provides a tutorial to the DRA web app (DRA [login to view URL])

● A file with demographics and electoral data for each NJ and NH precincts

(Map Data/[login to view URL] and Map

Data/[login to view URL]). Each precinct is identified by its


● Links to an external site.

● key. You can see a description of the fields in [login to view URL]

● Directories with the shape of all precincts, using TIGER shape data

(nh_vtd_2020_bound and nj_vtd_2020_bound). The provided notebooks give

examples of how to use the shape data. You can also use the pre-computed

precinct Contiguity indexes: [login to view URL] and [login to view URL]


1. Code (in Python Notebook format) used to generate your districts

2. csv files with the two assignments[login to view URL]%2Fdrive%2Ffolders%2F11gocBh1tcu0GqdyyrjLsKRT5Q-QbACV7%3Fusp%3Ddrive_link&sig=b30660ad84dbcf242b3b73c186d6687658dcd1e8df5f60709fc78f14212484be

Need to finish this task asap

I have already have the code... need assistance to run it.. thats all

Python Machine Learning (ML) Statistics Artificial Intelligence C Programming

Project ID: #37459875

About the project

13 proposals Remote project Active 2 mos ago

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