jeroenjanssens / data-science-at-the-command-line
Data Science at the Command Line
☆3,834Updated 9 months ago
Alternatives and similar repositories for data-science-at-the-command-line:
Users that are interested in data-science-at-the-command-line are comparing it to the libraries listed below
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆2,025Updated last year
- Open Content for self-directed learning in data science☆2,969Updated last year
- Free resources for learning data science☆2,933Updated 8 months ago
- A curated list of data science blogs☆6,338Updated 8 months ago
- Open Source Data Science Resources.☆4,135Updated 11 months ago
- Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques☆1,582Updated 5 years ago
- The probability and statistics cookbook☆2,258Updated last year
- Manuscript of the book "Tidy Text Mining with R" by Julia Silge and David Robinson☆1,326Updated 6 months ago
- A complete environment for busy polyglot data scientists☆470Updated 3 years ago
- A data science IDE for Python☆3,918Updated 6 years ago
- ggplot port for python☆3,700Updated 2 years ago
- Code accompanying the book "Machine Learning for Hackers"☆3,673Updated 5 years ago
- The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"☆3,773Updated last year
- A curated list of awesome R packages, frameworks and software.☆6,093Updated 2 months ago
- Advanced R: a book☆2,369Updated 9 months ago
- Recipes for using Python's pandas library☆6,738Updated 3 months ago
- Readings in applied data science☆1,616Updated 6 years ago
- Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1☆4,081Updated 3 years ago
- Carefully curated resource links for data science in one place☆3,003Updated 6 months ago
- Learn R, in R.☆1,151Updated last year
- R kernel for Jupyter☆1,673Updated 9 months ago
- http://DataScienceSpecialization.github.io☆1,643Updated 4 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,163Updated last year
- R for data science: a book☆4,675Updated 3 weeks ago
- Notes and exercise attempts for "An Introduction to Statistical Learning"☆2,139Updated 2 years ago
- Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"☆1,149Updated 2 years ago
- A guide to reading scientific papers☆484Updated 5 years ago
- Open Data Sources☆506Updated 6 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- An index of all our open-source data, analysis, libraries, tools, and guides.☆1,317Updated 2 years ago