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Paul Coster's Projects

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Projects Completed for Harvard's CS50 AI: Introduction to Artificial Intelligence with Python

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CS50AI Week 0 - Degrees: A BFS algorithm to solve the 'Six Degrees of Kevin Bacon' game

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CS50AI Week 1 - Knights: A Model Checking algorithm to solve 'knights and knaves' logic puzzles

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An AI to predict the likelihood of a person having a genetic trait, using a Bayesian Network

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An AI that teaches itself to play 'Nim' using Reinforcement Learning (ε-Greedy Q-Learning)

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An AI that predicts whether online shopping customers will complete a purchase, using a scikit-learn k-nearest neighbours classifier

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An AI that identifies which traffic sign appears in a photograph, using a tensorflow convolutional neural network

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An AI that parses sentences and extracts noun phrases, using the context-free grammar formalism and the Python nltk library

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An AI that answers questions, by determining the most relevant document(s) using tf-idf ranking and then extracting the most relevant sentence(s) using idf and a query term density measure.

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Projects Completed for Harvard's CS50 Web: Web Programming with Python and JavaScript

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