selfstudy:docs..duke ..

时间:2024-04-09 05:03:23
【文件属性】:

文件名称:selfstudy:docs..duke ..

文件大小:5.25MB

文件格式:ZIP

更新时间:2024-04-09 05:03:23

JupyterNotebook

selfstudy:docs..duke ..


【文件预览】:
selfstudy-main
----MCMC()
--------MCMC2.ipynb(2KB)
--------pca.ipynb(1.06MB)
--------Lab7.ipynb(362KB)
--------M-H采样实例.ipynb(596KB)
--------MCMC1.ipynb(1KB)
--------HW2 000.ipynb(5KB)
--------MCinR 540.R(591B)
--------MCMC之Metropolis-Hastings采样算法python代码理解.ipynb(154KB)
----Ex()
--------数据结构.ipynb(4KB)
--------.DS_Store(6KB)
-------- MIIS.ipynb(26KB)
--------随机数chhap3.ipynb(174KB)
--------标准正态分布(提议分布)模拟另外一个标准正态分布(目标分布).ipynb(2KB)
----docs()
--------iris-full-machinelearning-95-voting-gridsearch.ipynb(150KB)
--------docnumpy.ipynb(425KB)
--------iris-data-analsis.ipynb(87KB)
--------from zhihu.ipynb(15KB)
--------warmup.ipynb(2.11MB)
--------iris0.ipynb(19KB)
--------use-of-elbow-technique-k-means-iris-dataset.ipynb(7KB)
----duke()
--------functions.ipynb(156KB)
--------Control Structures.ipynb(6KB)
--------alice in warm up.ipynb(9KB)
----data()
--------titanic_test.csv(28KB)
--------stocks.csv(307B)
--------Iris.csv(5KB)
--------drinks.csv(6KB)
--------stocks1.csv(119B)
--------drinks2.csv(3KB)
--------titanic_train.csv(59KB)
--------u.data(1.89MB)
--------u.user(22KB)
--------stocks2.csv(119B)
--------fake_items.csv(21B)
--------.DS_Store(6KB)
--------u.item(231KB)
--------chipotle.tsv(356KB)
--------submission TT.csv(3KB)
--------fish.csv(41KB)
--------stocks3.csv(119B)
--------ufo.csv(653KB)
--------drinks1.csv(3KB)
--------fake_ratings.csv(68B)
--------imdb_1000.csv(89KB)
----matlab()
--------untitled0.m(672B)
--------matlab.mat(911B)
--------MetroS.m(3KB)
--------lp.m(173B)
--------narcissisnum.m(219B)
--------MHS.m(3KB)
--------charachain.m(97B)
----.DS_Store(8KB)
----ritvikmathYouTubeVideoCode()
--------Logistic Regression.ipynb(33KB)
--------MCMC Experiments.ipynb(422KB)
--------Monte Carlo Code.ipynb(21KB)
--------.DS_Store(6KB)
--------Spam Filtering.ipynb(17KB)
--------MCMC Board Game.ipynb(115KB)
--------Bayesian Treasure Hunt.ipynb(56KB)
--------Gibbs Sampling Code.ipynb(181KB)
--------Decision Tree Coding.ipynb(103KB)
----MVN()
--------the bivariate Gaussian distribution.ipynb(1.27MB)
--------MVN-primer.ipynb(1.06MB)
--------scrach hw 1.ipynb(953KB)
--------HW3 5401111111.ipynb(991KB)
--------multivariate_normal.ipynb(85KB)
--------MVN.ipynb(254KB)
--------MVN-partial-correlation.ipynb(11KB)
--------mvn-conditional-01.ipynb(12KB)
----MD()
--------14.1-确定型存储问题.html(617KB)
--------test.tex(4KB)
--------14.1 确定型存储问题.md(2KB)

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