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liujinstat's Projects

atsa icon atsa

Course page for Applied Time Series Analysis

cs228-material icon cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs229t icon cs229t

Statistical Learning Theory (CS229T) Lecture Notes

esquisse icon esquisse

RStudio add-in to make plots with ggplot2

funsiq icon funsiq

Functional Single-index Quantile Regression Models

islr-python icon islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

leetcode-1 icon leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)

liujinstat1.github.io icon liujinstat1.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ml-nlp icon ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

nar icon nar

The code for network autoregression model (NAR)

non-parametric-econometrics icon non-parametric-econometrics

This is the R code for several common non-parametric methods (kernel est., mean regression, quantile regression, boostraps) with both practical applications on data and simulations

pbssim icon pbssim

Locally penalized single index model using B-splines and spherical coordinates.

stanford-cs-229 icon stanford-cs-229

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

stat-learning icon stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

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