Question 1

What is the focus of this blog?

Accepted Answer

This blog covers topics related to data science, statistics, Python, and machine learning, written by Cameron Davidson-Pilon.

Question 2

What other blog does the author run?

Accepted Answer

The author also runs a blog called "controlledmold" which focuses on food science, fermentation, and statistics.

Question 3

What are some of the recent topics covered on this blog?

Accepted Answer

Recent topics include SaaS churn and piecewise regression, highlights from lifelines v

Question 4

What are some of the Python libraries and techniques discussed on this blog?

Accepted Answer

The blog covers topics related to the lifelines library for survival analysis, the use of the delta-method and autograd, Poisson distribution, causal inference, and MapReduce implementations in PySpark.

Question 5

Does the blog cover any non-technical topics?

Accepted Answer

Yes, the blog includes a post titled "Everything I need to know about causality, I learned smoking cigarettes", which discusses causal inference in a more relatable way.

Data Origami

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Frequently Asked Questions about Data Origami

What is the focus of this blog?

What other blog does the author run?

What are some of the recent topics covered on this blog?

What are some of the Python libraries and techniques discussed on this blog?

Does the blog cover any non-technical topics?