Hangman Project based on Machine Learning
₹1500-12500 INR
Paid on delivery
I am looking for a freelancer who can develop a Hangman project based on machine learning using Python. The ideal candidate should have experience in machine learning algorithms and be able to choose the most suitable algorithm for the project. The intended use of the machine learning model is word prediction. The description of the project is as follows:
Your objective is to write an algorithm that plays the game of Hangman through our API server.
When a user plays Hangman, the server first selects a secret word at random from a list. The server then returns a row of underscores (space separated)—one for each letter in the secret word—and asks the user to guess a letter. If the user guesses a letter that is in the word, the word is redisplayed with all instances of that letter shown in the correct positions, along with any letters correctly guessed on previous turns. If the letter does not appear in the word, the user is charged with an incorrect guess. The user keeps guessing letters until either (1) the user has correctly guessed all the letters in the word or (2) the user has made six incorrect guesses.
You are required to write a "guess" function that takes current word (with underscores) as input and returns a guess letter.
Your algorithm is permitted to use a training set of approximately 250,000 dictionary words. Your algorithm will be tested on an entirely disjoint set of 250,000 dictionary words. Please note that this means the words that you will ultimately be tested on do NOT appear in the dictionary that you are given. You are not permitted to use any dictionary other than the training dictionary that is provided.
This algorithm will match the provided masked string (e.g. a _ _ l e) to all possible words in the dictionary, tabulate the frequency of letters appearing in these possible words, and then guess the letter with the highest frequency of appearence that has not already been guessed. If there are no remaining words that match then it will default back to the character frequency distribution of the entire dictionary.
This benchmark strategy is successful approximately 18% of the time. Your task is to design a Machine Learning algorithm that significantly outperforms this benchmark (atleast 50% accuracy).
If we agree to work together, the base code will be provided which you'll be using to test and build the algorithm.
Project ID: #37351080
About the project
11 freelancers are bidding on average ₹6727 for this job
Hi..I am proficient in core Java OO programming with data structures, algorithms, AI programming, GUI programming with Swings/JavaFX, TCP/IP socket programming and can help you complete the project as per requirements.
Hi, My name is Seyed Amirreza and I'm an experienced Python developer with the necessary skills to complete your project. I already worked on NLP project topics including Chatbot, Question Answering, Sentiment Classifi More
I understand that you are looking for a freelancer who can develop a Hangman project based on machine learning using Python. With over 12 years of experience in data science, I am confident that I have the necessary sk More
Yes sir i can do this i have 3 year experience in python machine learning and also i have experience in software architecture and machine learning algorithms
Hello! Do you have an idea that you want to convert to a professional and pleasing web app then I am here to bring that idea to reality! I am a full-stack web developer having several years of experience in web devel More
Hi there! I'm Sharad, a Pythonic freelancer with extensive experience in machine learning algorithms and machine learning. I understand that you're looking for someone to develop a Hangman project based on machine lear More
