learn-co-students / dc_ds_06_03_19Links
☆10Updated 5 years ago
Alternatives and similar repositories for dc_ds_06_03_19
Users that are interested in dc_ds_06_03_19 are comparing it to the libraries listed below
Sorting:
- Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"☆874Updated 3 years ago
- Repository for CS109A Fall 2018☆148Updated 4 years ago
- Statistics, data analysis tutorials and learning resources☆98Updated 3 months ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆415Updated 3 years ago
- Files for the assignments of the "Managing Big Data with MySQL" Coursera course by Duke University☆15Updated 6 years ago
- Content, Code & Resources for WWCodeDataScience Events https://www.womenwhocode.com/datascience☆27Updated 4 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆543Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆753Updated 4 years ago
- ☆108Updated 3 years ago
- Cohort Repo for Flatiron School's Data Science Cohort 111819!!☆10Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆753Updated 4 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆896Updated 4 years ago
- Machine learning course materials.☆573Updated last year
- Anatomy of Matplotlib -- tutorial developed for the SciPy conference☆1,231Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆572Updated 5 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆536Updated 6 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- Source code for my collection of articles on using pandas.☆1,564Updated 2 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆685Updated 3 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆946Updated 2 years ago
- How to do Bayesian statistical modelling using numpy and PyMC3☆666Updated 3 years ago
- Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"☆1,177Updated 2 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 2 years ago
- My Answer to 120 Data Science Interview Questions☆504Updated 4 years ago
- Text and code for the second edition of Think Bayes, by Allen Downey.☆1,934Updated 6 months ago
- Linear Algebra and Optimization for Data Science☆24Updated 4 years ago
- Solutions to Wasserman's 'All of Statistics'.☆104Updated 6 years ago
- All the action is on the course webpage -->☆29Updated 8 months ago