rio26

Bayesian-NMF

BUGS.

classifier_regression-and-bayesian

clustering

different clustering algorithms comparison

community-detection

nonnegative matrix factorization on community detection

mini-block-chain

60 lines codes demo

nonnegative-matrix-factorization

algorithms for nmf

Predicting-Power-Output-of-a-combined-cycle-power-plant.

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

regression-counting-objects-in-image

Implementation of different regression models + Application to image recognition (counting objects)

regression-neural-network

weibo-comments-word-cloud

微博评论爬虫+评论html tag清洗+中文词云生成

rio26/weibo-comments-word-cloud

微博评论爬虫+评论html tag清洗+中文词云生成

rio26/community-detection

nonnegative matrix factorization on community detection

rio26/classifier_regression-and-bayesian

rio26/nonnegative-matrix-factorization

algorithms for nmf

rio26/Predicting-Power-Output-of-a-combined-cycle-power-plant.

The objective of the Project is to predict ‘Full Load Electrical Power Output’ of a Base load operated combined cycle power plant using Polynomial Multiple Regression. Concepts : 1) Clustering, 2) Polynomial Regression, 3) LASSO, 4) Cross-Validation, 5) Bootstrapping

rio26/Bayesian-NMF

BUGS.

rio26/clustering

different clustering algorithms comparison

rio26/mini-block-chain

60 lines codes demo

rio26/regression-counting-objects-in-image

Implementation of different regression models + Application to image recognition (counting objects)

rio26/regression-neural-network