justmarkham

Kevin Markham (justmarkham)

2016-09-30 01:51:25 +0800 CST

About justmarkham

Summing up all of justmarkham's repositories they have own repositories and 46 contribute repositories .

justmarkham follows other users and is followed by users.

Data for justmarkham was last updated 2016-09-30 01:51:25 +0800 CST.

justmarkham use Jupyter Notebook, Python, HTML, CSS, R, ...

Repository

DAT8

1045 0,1,0,1,1,0,6

General Assembly's Data Science course in Washington, DC

scikit-learn-videos

637 0,0,2,3,0

Jupyter notebooks from the scikit-learn video series

DAT3

397

General Assembly's Data Science course in Washington, DC

DAT4

327

General Assembly's Data Science course in Washington, DC

DAT7

172

General Assembly's Data Science course in Washington, DC

python-reference

81

Python Quick Reference

pycon-2016-tutorial

80

Tutorial: Machine Learning with Text in scikit-learn

DAT5

79

General Assembly's Data Science course in Washington, DC

pandas-videos

66

Jupyter notebook and datasets from the pandas Q&A video series

dplyr-tutorial

61

Tutorials for the dplyr package in R

python-data-science-workshop

41

Workshop: Python for Data Science

python-data-analysis-workshop

41

Workshop: Intro to Python for Data Analysis

kaggle-allstate

36

Allstate Purchase Prediction Challenge on Kaggle

kaggle-pycon-2015

33

Solution code from my winning submission to Kaggle's PyCon 2015 competition

tidy-data

17

Commented R code from Hadley Wickham's "tidy data" presentation

pydata-dc-2016-tutorial

16

Tutorial: Machine Learning with Text in scikit-learn

Machine-Learning-Tutorials

3

machine learning and deep learning tutorials, articles and other resources

coursera-getting-data

3

Class project for Coursera's "Getting and Cleaning Data" class

machine-learning-for-software-engineers

2

A complete daily plan for studying to become a machine learning engineer.

gadsdc

1

GA DS DC

DataScienceSpecialization.github.io

1

http://DataScienceSpecialization.github.io

PracticalMachineLearning

1

Course project for Practical Machine Learning: https://www.coursera.org/course/predmachlearn

DataSciencePython

1

common data analysis and machine learning tasks using python

crisp-ghost-theme

1

A minimalist, responsive, and open-source theme for Ghost

awesome-datascience

1

:memo: An awesome Data Science repository to learn and apply for real world problems.

RepData_PeerAssessment1

1

Peer Assessment 1 for Reproducible Research

awesome-machine-learning

1

A curated list of awesome Machine Learning frameworks, libraries and software.

babynames

1

Baby Names by Birth Year

dc-michelin-challenge

1

Guess the correct restaurants on DC's Michelin Guide by 10/12/16. Win $500 and an invite to the French Ambassador's residence.

Contribute

awesome-machine-learning

awesome-machine-learning

24693 0,13,47,49,0,54,36,0

A curated list of awesome Machine Learning frameworks, libraries and software.

dive-into-machine-learning

dive-into-machine-learning

6952 0,1,2,6,3,0,5,0

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

Machine-Learning-Tutorials

Machine-Learning-Tutorials

4170 0,6,0,7,2,7,0,2

machine learning and deep learning tutorials, articles and other resources

awesome-datascience

awesome-datascience

3909 0,3,0,5,1,9,0,9

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-datascience

awesome-datascience

3909

:memo: An awesome Data Science repository to learn and apply for real world problems.

data-science-blogs

data-science-blogs

3394 0,2,2,0,1,3,3,0

A curated list of data science blogs

DataSciencePython

DataSciencePython

2507 0,2,7,5,9,0,13,3

common data analysis and machine learning tasks using python

DataScienceSpecialization.github.io

DataScienceSpecialization.github.io

1291 0,1,1,1,1,0,38

http://DataScienceSpecialization.github.io

DAT8

DAT8

1045 0,1,0,1,1,0,6

General Assembly's Data Science course in Washington, DC

stat-learning

stat-learning

752 0,0,1,1,0

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

scikit-learn-videos

scikit-learn-videos

637 0,0,2,3,0

Jupyter notebooks from the scikit-learn video series

DAT3

DAT3

397

General Assembly's Data Science course in Washington, DC

DAT4

DAT4

327

General Assembly's Data Science course in Washington, DC

DAT7

DAT7

172

General Assembly's Data Science course in Washington, DC

python-reference

python-reference

81

Python Quick Reference

pycon-2016-tutorial

pycon-2016-tutorial

80

Tutorial: Machine Learning with Text in scikit-learn

DAT5

DAT5

79

General Assembly's Data Science course in Washington, DC

pandas-videos

pandas-videos

66

Jupyter notebook and datasets from the pandas Q&A video series

dplyr-tutorial

dplyr-tutorial

61

Tutorials for the dplyr package in R

python-data-analysis-workshop

python-data-analysis-workshop

41

Workshop: Intro to Python for Data Analysis

python-data-science-workshop

python-data-science-workshop

41

Workshop: Python for Data Science

kaggle-allstate

kaggle-allstate

36

Allstate Purchase Prediction Challenge on Kaggle

kaggle-pycon-2015

kaggle-pycon-2015

33

Solution code from my winning submission to Kaggle's PyCon 2015 competition

data

data

19

Python related videos and metadata powering =>

tidy-data

tidy-data

17

Commented R code from Hadley Wickham's "tidy data" presentation

pydata-dc-2016-tutorial

pydata-dc-2016-tutorial

16

Tutorial: Machine Learning with Text in scikit-learn

Machine-Learning-Tutorials

Machine-Learning-Tutorials

3

machine learning and deep learning tutorials, articles and other resources

coursera-getting-data

coursera-getting-data

3

Class project for Coursera's "Getting and Cleaning Data" class

dive-into-machine-learning

dive-into-machine-learning

2

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

DataScienceSpecialization.github.io

DataScienceSpecialization.github.io

2

http://DataScienceSpecialization.github.io

awesome-datascience

awesome-datascience

1

:memo: An awesome Data Science repository to learn and apply for real world problems.

Machine-Learning-Tutorials

Machine-Learning-Tutorials

1

machine learning and deep learning tutorials, articles and other resources

DAT8

DAT8

1

General Assembly's Data Science course in Washington, DC

RepData_PeerAssessment1

RepData_PeerAssessment1

1

Peer Assessment 1 for Reproducible Research

PracticalMachineLearning

PracticalMachineLearning

1

Course project for Practical Machine Learning: https://www.coursera.org/course/predmachlearn

gadsdc

gadsdc

1

GA DS DC

DataScienceSpecialization.github.io

DataScienceSpecialization.github.io

1

http://DataScienceSpecialization.github.io

DataSciencePython

DataSciencePython

1

common data analysis and machine learning tasks using python

crisp-ghost-theme

crisp-ghost-theme

1

A minimalist, responsive, and open-source theme for Ghost

github-cheat-sheet

github-cheat-sheet

1

A list of cool features of Git and GitHub.

dive-into-machine-learning

dive-into-machine-learning

1

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

data-science-blogs

data-science-blogs

1

A curated list of data science blogs

data-science-blogs

data-science-blogs

1

A curated list of data science blogs

DAT8

DAT8

1

General Assembly's Data Science course in Washington, DC

DAT3

DAT3

1 0

General Assembly's Data Science course in Washington, DC