Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
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Updated
Feb 14, 2017 - MATLAB
Bayesian linear and Gaussian process regression to predict CO2 concentration as a function of time
Bayesian Linear regression using MCMC and Variational Inference
My implementation of homework 2 for the Machine Learning class in NCTU (course number 5088).
Markov Chain Monte Carlo (MCMC) and importance sampling in the context of Bayesian linear regression
Ensembled Deep Network for Global Optimization
Model Comparison of 2-Component Mixture, 3-Component Mixture, and Bayesian Linear Regression with MCMC Sampling
Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
Entraînement de modèles Bayésiens et analyse de robustesse.
Bigmart Sales Analysis prediction of the sales, data set from https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/
My personal repository for Statistical Thinking course assignments, 8th semester, Computer Science Engineering.
Summer Research Internship Tasks
Machine Learning Projects on Linear Regression, Classification and Multi-layer Perceptrons, and Gaussian Processes and SVMs (October, 2019).
Sklearn wrapper for Bayesian Probabilistic Matrix Completion with Macau, Smurff, and Bayesian linear regression
Comparing frequentist linear regression with bayesian linear regression of a lying experiment
2022 NTHU EE6550 (EE655000) Machine Learning Course Projects (include Maximum A Posteriori Estimation, Linear Regression, Neural Network Image Classification)
Comparison of different regression and classification algorithms on different datasets.
Coresets for scalable robust pseudo-Bayesian inference
Implementing MCMC sampling from scratch in R for various Bayesian models
code for performing Bayesian ARD regression, where covariates have groups
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