Using the Bayesian Algorithm, make a model to play Wordle. Our Bayesian model can find the target word in 3.87 on average.
Also, check the web version of this! https://jihunkimcode.github.io/Wordle-Solver-Web/
- Training dataset: All possible words that have 5 characters that Wordle takes
- Testing dataset: Previous Wordle answers
- Algorithm: Bayesian model
- Random guess from list (whole word list).
- Feedback based on the letter location (yellow, green, gray).
- Go back and guess with the feedback information.
- Find the best word to start.
- Models/play_wordle_reduced_bestword.ipynb
- Run model along with training and testing phase to find and test the best starting word
- Wordle Player/simulator_with_userinput.py
- You already choose the best starting word
- Fix line 57 to use your start word.
- Just want to test the Bayesian Algorithm we implemented
- You already choose the best starting word