https://github.com/rasbt/data-science-tutorial
Code material for a data science tutorial
https://github.com/rasbt/data-science-tutorial
Last synced: 8 months ago
JSON representation
Code material for a data science tutorial
- Host: GitHub
- URL: https://github.com/rasbt/data-science-tutorial
- Owner: rasbt
- License: mit
- Created: 2017-06-16T15:00:45.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-07-03T00:50:33.000Z (over 8 years ago)
- Last Synced: 2025-03-31T21:42:26.427Z (10 months ago)
- Language: Jupyter Notebook
- Size: 929 KB
- Stars: 197
- Watchers: 19
- Forks: 116
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# data-science-tutorial
Code material for a data science tutorial in Python
... in progress
1. Exploratory Data Analysis [[Jupyter Notebook](code/eda.ipynb)]
2. Summary Statistics [[Jupyter Notebook](code/summary-stats.ipynb)]
3. Covariance and Correlation [[Jupyter Notebook](code/cov-corr.ipynb)]
4. Probability Mass Functions [[Jupyter Notebook](code/pmf_1.ipynb)]
5. Probability Density Functions [[Jupyter Notebook](code/pdf_1.ipynb)]
6. Least-Squares Linear Regression [[Jupyter Notebook](code/linear-reqression-leastsquares.ipynb)]
7. Bootstrapping (Nonparametric Inference) [[Jupyter Notebook](code/bootstrapping.ipynb)]
8. Hypothesis Testing Introduction [[Jupyter Notebook](code/hypothesis-testing_1.ipynb)]