Four practical applications: 50% of the overall grade, all weigh equal (12.50% out of 100%). The mark in each has to be greater or equal to 4 (out of 10) to pass this compulsory part.
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Updated
Jan 2, 2024 - R
Four practical applications: 50% of the overall grade, all weigh equal (12.50% out of 100%). The mark in each has to be greater or equal to 4 (out of 10) to pass this compulsory part.
Assignment for Uncertainity in AI Course IITD
You know I'm all about the Bayes!
The project uncovers distinct groups of voter profiles utilizing COVID-19 orientations in a representative sample of German voters. The distinct groups in the population differ in their beliefs towards the effectiveness of government measures, compliance with a possible curfew, and trust in various institutions.
Course in machine learning at Linköping University.
Naive Bayes Classifier built in Node.js
Learning Bayesian Networks with the Complete Minimum Description Length
Bayesera is a chained, distributed, casual, dynamic Bayes Network.
Component that uses Bayesian Networks to estimate the assessment for strategic indicators. API documentation at:
Project for the course of Advanced statistics of physical analysis
Simple implementation (in Go) of algorithm to convert SPNs into BNs with ADDs.
A university project about the K2 algorithm, coded in R.
An open source software package written in R statistical languaje. It implements the complete GENis functionality, a recently published open-source multi-tier information system developed to run forensic DNA databases to perform kinship analysis based on DNA profiles.
Extension of the NormAN base-model to study the effects of agreeableness on information exchange.
Exercises of the course of Advanced-Statistics
Artificial Inteligence DD2380 - Essay & Assignments
Probabilistic Graphical Models on Kubernetes
Bayesian Network-Infored Conditional Random Forests
Stanford-CS221 class practical's, Assignments and projects
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