Pinned Repositories
1806
18.06 course at MIT
2012-01_Stanford_STATS315a
Modern Applied Statistics: Elements of Statistical Learning
causal_inference_python_code
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
CMU_IntermediaStat_36.705
Inferential-Statistics
Coursera Duke University
Linear-Regression-and-Modeling
Coursera Duke University
ProductTitleSummarizationCorpus
Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"
R_package_on_Github_Incorporate
"Installation failed: Timeout was reached: Connection timed out after 10000 milliseconds"- solution
standford-Regression-Models-and-Analysis-of-Variance-203
meganzj's Repositories
meganzj/ProductTitleSummarizationCorpus
Dataset for CIKM 2018 paper "Multi-Source Pointer Network for Product Title Summarization"
meganzj/R_package_on_Github_Incorporate
"Installation failed: Timeout was reached: Connection timed out after 10000 milliseconds"- solution
meganzj/standford-Regression-Models-and-Analysis-of-Variance-203
meganzj/1806
18.06 course at MIT
meganzj/2012-01_Stanford_STATS315a
Modern Applied Statistics: Elements of Statistical Learning
meganzj/causal_inference_python_code
Python code for part 2 of the book Causal Inference, by Miguel Hernán and James Robins
meganzj/CMU_IntermediaStat_36.705
meganzj/CMU_introduction_to_machine_learning_10701_2011
meganzj/harvard_probability_110
meganzj/Inferential-Statistics
Coursera Duke University
meganzj/Linear-Regression-and-Modeling
Coursera Duke University
meganzj/MIT_linear_algeba_1806_spring2010
meganzj/Stanford_Statistical_Inference_200
meganzj/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
meganzj/Machine-Learning-cs229-2018
Stanford Machine Learning 2018 Autumn
meganzj/meganzj.github.io
Build a Jekyll blog in minutes, without touching the command line.
meganzj/MIT_LinearAlgebra_18.06
meganzj/Naive-Bayes-and-AdaBoost
Implementation of Naive Bayes with and without AdaBoost. Done in Python.
meganzj/pennstate_AppliedTimeSeriesAnalysis_510
meganzj/pennstate_DesignofExperiment_503
meganzj/python-and-machine-learning-cheatsheets
A one-stop shop for python and machine learning tips and tricks!
meganzj/rc-data
Question answering dataset featured in "Teaching Machines to Read and Comprehend
meganzj/Stanford-Data-Mining-and-Analysis-202
meganzj/stanford_AlgorithmDesignAndAnalysisPart1
Stanford Algorithm Design and Analysis Implementation in R
meganzj/stanford_cs231n
meganzj/stanford_ElementOfStatisticalLearning_315a
meganzj/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
meganzj/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
meganzj/Udacity-ud120-projects
Starter project code for students taking Udacity ud120
meganzj/Udacity_ABTesting