AI-Foundations

Problem Solving With AI Approaches: Heuristic Searches and Statistical Classifications.

Image Rotation Classifier: Neural Net, k-Nearest Neighbors algorithms
Part of Speech Tagger: Naive Bayes, Viterbi, Markov chain Monte Carlo algorithms
Constraint Satisfaction using graphs: Most constrained variable first, least constraining value first approach
Game Playing with chance: expecti-minimax algorithm
Game Playing with no chance: minimax with alpha-beta pruning approach
Graph Search: DFS, BFS, A Star algorithms

Artificial Intelligence: A Modern Approach (3rd Ed.) by Stuart Russell and Peter Norvig

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
1 Search (heuristic, exhaustive)		1 Search (heuristic, exhaustive)
2 Game Playing (min-max)		2 Game Playing (min-max)
3 Game With Chance (expecti-mini-max)		3 Game With Chance (expecti-mini-max)
4 Constraint Satisfacton (CSP)		4 Constraint Satisfacton (CSP)
5 Part of Speech (NB, Viterbi, MCMC)		5 Part of Speech (NB, Viterbi, MCMC)
6 Image rotation (KNN, Neural Net)		6 Image rotation (KNN, Neural Net)
.gitignore		.gitignore
README.md		README.md

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