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This repository has been archived by the owner on Jun 28, 2022. It is now read-only.

Constraint Satisfaction Problem lab to solve the N-Queens problem

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udacity/AIND-Constraint_Satisfaction

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In this exercise you will explore Constraint Satisfaction Problems by implementing the N-Queens problem using symbolic constraints in a Jupyter notebook, and solving it using the Backtracking Search algorithm from AIMA.

To launch the notebook, run the following command from a terminal with anaconda3 installed and on the application path:

jupyter notebook AIND-Constraint_Satisfaction.ipynb

Archival Note

This repository is deprecated; therefore, we are going to archive it. However, learners will be able to fork it to their personal Github account but cannot submit PRs to this repository. If you have any issues or suggestions to make, feel free to:

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