ninonarido / STATSPRO

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] (https://www.linkedin.com/in/ninonarido/) if you are interested in data science and like to connect.

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Requirements

• Python 3.10+
• 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)

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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 Wordpress: Pre-conditions in Data Science.

Check out this article I wrote on Wordpress about "Write R functions in Python?"

Check out this article I wrote on Wordpress about "Operational Mathematical Programming — baby steps into data science?"

Check out this article I wrote on Wordpress about "Bayes’ rule - on point with sample"

Check out this article I wrote on Wordpress about "Stats modeling using “Pomegranate” — in a nutshell"