Statistics/ Mathematical Computing Notebooks

Jupyter Notebooks on the topics of statistical analysis, mathematics, and numerical/sceintific computing (in Python).

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 Articles

Check out this article I wrote on Medium: Essential Math for Data Science.

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"

Check out this article I wrote on Medium about "Statistical modeling with “Pomegranate” — fast and intuitive"

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