General statistics, mathematical programming, and numerical/scientific computing scripts and noteboo...
Available items
No Items, yet!
The developer of this repository has not created any items for sale yet. Need a bug fixed? Help with integration? A different license? Create a request here:
Statistics/ Mathematical Computing Notebooks
Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).
Please feel free to connect with me on LinkedIn if you are interested in data science and like to connect.
Requirements
- Python 3.6+
- NumPy (
$ pip install numpy
) - Pandas (
$ pip install pandas
) - Scikit-learn (
$ pip install scikit-learn
) - SciPy (
$ pip install scipy
) - Statsmodels (
$ pip install statsmodels
) - MatplotLib (
$ pip install matplotlib
) - Seaborn (
$ pip install seaborn
)
Set Algebra basics
Permutations and Combinations
Probability distributions (Discrete)
Linear Regression Methods
R-style Statistical functions written using Python
Diagnostics of a linear regression problem
Introduction to hypothesis testing
Articles
Check out this article I wrote on Medium: Essential Math for Data Science.
Check out this article I wrote on Medium about "How to write your favorite R functions — in Python?"
Check out this article I wrote on Medium about "Mathematical programming — a key habit to build up for advancing in data science?"
Check out this article I wrote on Medium about "Bayes’ rule with a simple and practical example"