Explorerk

Explorerk's Stars

• vugsus/coursera-machine-learning

  Coursera's Machine Learning by Andrew Ng

  Language:Matlab345442

• pzhaonet/msg2020

  现代统计图形 2020 版

  Language:HTML203

• rpittman188/fdaconcur

  This is the fdaconcur package.

  Language:R1

• MGallow/GLASSOO

  Penalized precision matrix estimation via block-wise coordinate descent (graphical lasso)

  Language:R3

• AnnaWysocki/Network-Penalty-Selection

  Simulation comparing four methods for selecting the penalty parameter in the graphical lasso

  Language:R32

• cran/T4cluster

  :exclamation: This is a read-only mirror of the CRAN R package repository. T4cluster — Tools for Cluster Analysis. Homepage: https://kisungyou.com/T4cluster/ Report bugs for this package: https://github.com/kisungyou/T4cluster/issues

  Language:R3

• thomasp85/patchwork

  The Composer of ggplots

  Language:R2.4k159

• rstudio/blogdown

  Create Blogs and Websites with R Markdown

  Language:R1.7k334

• whitefly/Data-Mining

  code implements of <<Statistical learning methods>>

  Language:Python11

• program-spiritual/DataAnalysisInAction

  (Finished) Geek Time Data Analysis Practical 45 Lecture - Detailed notes containing markdown images mind map code data can be read directly code test

  Language:Python697276

• qiwsir/algorithm

  Language:Python3.3k1.1k

• sunxiaolong321/Python-Datastructure-and-algorithm

  **大学MOOC网课数据分析与算法Python版（陈斌）课程代码

  Language:Jupyter Notebook255

• bioops/legume_network

  conserved and specific legume co-expression networks

  Language:HTML1

• czarrar/causality_primer

  Language:JavaScript2

• Doraemonzzz/Advanced-Probability-Theory

  记录本校高等概率论课程笔记

  265

• steadyfish/Project536

  MATLAB Project for modelling covariance matrix of financial time series data as Generalized Wishart Process

  Language:Matlab11

• resteorts/modern-bayes

  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science

  Language:HTML69178

• cran/NonpModelCheck

  :exclamation: This is a read-only mirror of the CRAN R package repository. NonpModelCheck — Model Checking and Variable Selection in Nonparametric Regression

  Language:R1

• tongtzeho/PKUCourse

  北大计算机课程大作业

  Language:C++2.4k524

• lib-pku/libpku

  贵校课程资料民间整理

  Language:TeX30.3k8.3k

• netchx/netch

  A simple proxy client

  Language:C#16.3k2.7k

• trambakbanerjee/asus

  An R package for adaptive SURE thresholding with side information.

  Language:HTML31

• khanhnamle1994/statistical-learning

  Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

  Language:R257121

• AnestisTouloumis/ShrinkCovMat

  Provides nonparametric Steinian shrinkage estimators of the covariance matrix that are suitable in high dimensional settings, that is when the number of variables is larger than the sample size.

  Language:R84

• chrissles/funcy

  Language:C++12

• Aratrika-cs/James-Stein

  Presentation on James-Stein Estimator

  1

• mjafin/shrinkage_da

  Shrinkage Discriminant Analysis utilising James-Stein shrinkage

  Language:Python5

• amadyba/modelSelection_FDA

  Here, our project deals with the selection model when we have functional data by using the model-based clustering method, called FunFEM. And we apply our study on CO2 Emissions Dataset (Data from The World Bank) to cluster the countries according to CO2 emission in the world.

  Language:R2

• Erwangf/funHDDC-wavelet

  funHDDC-wavelet is a functional data clustering method. It use the Discrete Wavelet Transform to decompose curves into multiple components (levels) then train a parcimonious gaussian mixture model on them.

  Language:R32

• sakuramomo1005/Functional-data-analysis-draft

  The draft for the rotation project preconditioning on clustering functional data analysis

  Language:HTML1