Reproducible cost-effectiveness modeling
Marketing Channel Attribution with Markov Chains in Python
A Markov Chain Generator (MCG) is a prediction machine that uses a transition matrix to generate sequences that are similar to the training sequence. Thus, the output of a MCG mimics the training sequence that led to the values from the transition matrix and the process itself represents a prediction.
Here are all the Markov Chain algorithms in java script that are associated with the book entitled Markov chains: from theory to implementation and experimentation.
Generates fake youtube comments for a given video. The created comments are based on the existing comments on that video.
Implementação do algorítimo PageRank, usado pelo Google na classificação dos resultados de busca, e aplicação na rede dos personagens do livro "Os Miseráveis", de Victor Hugo, após isso, foi simulado uma caminha aleatória e verificado se o número de visitas a cada vértice é relacionado com o PageRank.
Udacity Natural Language Nanodegree Project 1 - Implementation of Hidden Markov Models for Part of Speech Tagging, that is dividing sentences into the various English speech tagging, such as Nouns, Verbs etc.
Mini-Mémoire BA3: Étude du Monopoly via les chaînes de Markov
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