Beard length A/B testing on #Tinder
https://appsciencing.wordpress.com/2018/11/19/beard-studies/
#abtest #statistics #practicalML
https://appsciencing.wordpress.com/2018/11/19/beard-studies/
#abtest #statistics #practicalML
Application Science
How Do You Test Out A New Look? Dating Apps!
People have described a dystopian future where machines control your dating life by presenting you with images of single women and convincing you that feeding the machines will lead to a life (or aβ¦
The Data Science Workflow
Article giving a full setup for #DS #workflow. How to train, evaluate, deploy and monitor performance of a model
Medium link: https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415
#practicalML
Article giving a full setup for #DS #workflow. How to train, evaluate, deploy and monitor performance of a model
Medium link: https://medium.com/@kt.era.ee/the-data-science-workflow-43859db0415
#practicalML
Medium
The Data Science Workflow
Suppose you are starting a new data science project (which could either be a short analysis of one dataset, or a complex multi-yearβ¦
IPython notebooks and git
#IPython or #Jupyter is one of the most popular tools in Data Science. It usage may questionable, but it is optimal for beginners and people who are making thier first steps. This article covers rare theme β keeping notebooks in git repository and optimizing collaboration using them. Main problem lies in technical information (like cell execution count), which is redundant and can be omitted, but still gets written to git in the default scenario.
Link: https://pascalbugnion.net/blog/ipython-notebooks-and-git.html
Code: https://gist.github.com/pbugnion/ea2797393033b54674af
#datascience #practicalML
#IPython or #Jupyter is one of the most popular tools in Data Science. It usage may questionable, but it is optimal for beginners and people who are making thier first steps. This article covers rare theme β keeping notebooks in git repository and optimizing collaboration using them. Main problem lies in technical information (like cell execution count), which is redundant and can be omitted, but still gets written to git in the default scenario.
Link: https://pascalbugnion.net/blog/ipython-notebooks-and-git.html
Code: https://gist.github.com/pbugnion/ea2797393033b54674af
#datascience #practicalML
Gist
Keeping IPython notebooks under Git version control
Keeping IPython notebooks under Git version control - ipython_notebook_in_git.md