liujinstat's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
Advanced_Probability_Theory
Materials for Probability Theory and Modelling
atsa
Course page for Applied Time Series Analysis
Coursera-ML
Machine Learning with Coursera
cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
cs229t
Statistical Learning Theory (CS229T) Lecture Notes
Data-Science-Notes
数据科学的笔记以及资料搜集
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
esquisse
RStudio add-in to make plots with ggplot2
FunSIQ
Functional Single-index Quantile Regression Models
github-slideshow
A robot powered training repository :robot:
GNAR_code
Code for the GNAR model (by Xuening Zhu).
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
leetcode
Python & JAVA Solutions for Leetcode
leetcode-1
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
lihang-code
《统计学习方法》的代码实现
lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
liujinstat1.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
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。
MS4218-TimeSeriesAnalysis
Time Series Analysis with R
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
Locally penalized single index model using B-splines and spherical coordinates.
Python-100-Days
Python - 100天从新手到大师
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
Notes and exercise attempts for "An Introduction to Statistical Learning"
statistical-learning-method
《统计学习方法》笔记-基于Python算法实现
Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
timeseries2018
Course page for DS-GA 3001.001 Modeling Time Series Data