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 austinrochford.com
Bayesian Splines with Heteroskedastic Noise in Python with PyMC3 | Austin Rochford
| | matbesancon.xyz
A Pythonic data science project: Part I | ??
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| | Learning by doing: detecting fraud on bank notes using Python in 3 steps.
| | jaketae.github.io
Experimenting with Jupyter Notebook - Jake Tae
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| | So far on this blog, all posts were written using Markdown. Markdown is very easy and learnable even for novices like me, but an issue I had was the inconvenience of integrating texts, code, and figures organically in one coherent file. That is why I decided to experiment with Jupyter Notebook, which I had meant to use and learn for a very long time.
| | isaacslavitt.com
Isaac Slavitt: Solving the Bayesian German Tank problem with PyMC and PyStan
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| | rgoswami.me
"ISLR :: Multiple Linear Regression" :: Rohit Goswami - Reflections
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| Chapter II - Statistical Learning All the questions are as per the ISL seventh printing of the First edition1. Question 2.8 - Pages 54-55 This exercise relates to the College data set, which can be found in the file College.csv. It contains a number of variables for \(777\) different universities and colleges in the US. The variables are Private : Public/private indicator Apps : Number of applications received Accept : Number of applicants accepted Enroll : Number of new students enrolled Top10perc : New students from top 10 % of high school class Top25perc : New students from top 25 % of high school class F.