A recommendation system for video games, which suggests gamers the best fit game for them based upon their choice and gaming-habit.
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Updated
Dec 11, 2021 - HTML
A recommendation system for video games, which suggests gamers the best fit game for them based upon their choice and gaming-habit.
Implementation of Tractable Probabilistic Model Tree Bayesian Networks using Chow Liu Tree and Mixture of Trees using EM (Expectation-Maximization) algorithm and Mixture of Trees using Random Forest Technique in python
Mini ML projects done as part of my coursework at Cornell Tech
Implementation of some Machine Learning Algorithms in Python
Expectation-Maximization-based clustering algorithm to identify groups defined by biological variates as clusters in single-cell transcriptomic data.
This algorithm finds the Maximum likelihood estimates in a model with incomplete data
Bayes Net learning based on EM method
Underwater Buoy detection using Gaussian Mixture Models (GMM) and Expectation-Maximization (EM) Algorithm
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Models via Fully Homomorphic Encryption
Unsupervised Learning: Mixture of Balls With Different Volumes.
This a project where heart disease is predicted using a novel approach, EM-SVM
ML Algorithms from scratch
Solving NQueen and HeavyNqueen, Hill Climbing and Astar, based on Python, EM for Clustering
Implémentation d'algorithmes simples de Data Science
Gibbs Sampling & EM Algorithm Implementation / R Programming Language / on Iris Dataset
Expectation Maximisation for a Gaussian Mixture Model Implemetation of the expectation maximisation algorithm for Gaussian Mixture Models in C++
Several Projects about AI in Python.
Modern computational statistics
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