This repository contains my project solutions for CS50's Introduction to Artificial Intelligence with Python offered by Harvard University.
CS50 AI explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, I gained exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning.
- Degrees - Determines the shortest path between any two actors by choosing a sequence of movies that connects them
- Tic-Tac-Toe - Implements an AI to play Tic-Tac-Toe optimally using Minimax
- Knights - Solves logic puzzles using propositional logic
- Minesweeper - AI to play Minesweeper using knowledge-based agents
- PageRank - Ranks web pages by importance using the PageRank algorithm
- Heredity - Assesses the likelihood of a person having a genetic trait using Bayesian networks
- Crossword - Generates crossword puzzles using constraint satisfaction
- Shopping - Predicts whether online shopping customers will complete a purchase using k-nearest neighbors
- Nim - AI that learns to play Nim through reinforcement learning (Q-learning)
- Traffic - Neural network to identify traffic signs using TensorFlow/Keras
- Parser - Parses sentences and extracts noun phrase chunks
- Questions - AI to answer questions given a corpus of text using tf-idf and natural language processing
- Python
- scikit-learn
- TensorFlow/Keras
- NLTK (Natural Language Toolkit)
- Tensorflow
This repository contains only my code implementations. Test data and course materials are not included(I don't want to set github servers on fire)
Special thanks to Professor David J. Malan, Brian Yu and the rest of the CS50 team at Harvard University for creating this excellent course.