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Yhat Blog
blog.yhathq.com · Company blog · on HN since 2013
Yhat, a data science software company, posts tutorials on Python and R, machine learning, and tools like Rodeo and pandasql.
What HN saysHN links it for practical data science guides. Commenters like its book list with synopses and cite its posts on Rodeo, pandasql, and loan prediction.
40HN people shared it
6linked it in comments
74stories submitted
797story points
11 years agolast shared
2013people per year2026
Most-shared posts
- 1Datasets You've Likely Never Seen3 people · 118 points · first shared 2015 · 13 comments on HN
- 2Random Forests in Python3 people · 35 points · first shared 2013 · 8 comments on HN
- 3Recomendation System in R3 people · 8 points · first shared 2013 · discussion on HN
- 410 Books for Data Enthusiasts3 people · 6 points · first shared 2013 · discussion on HN
- 5Ggplot – A plotting library for Python2 people · 16 points · first shared 2013 · discussion on HN
- 611 Python Libraries You Might Not Know2 people · 12 points · first shared 2015 · discussion on HN
- 7Rodeo: A data science IDE for Python2 people · 11 points · first shared 2015 · discussion on HN
- 8Using data science to build better products2 people · 8 points · first shared 2014 · discussion on HN
- 9Aggregating and plotting time series in Python2 people · 7 points · first shared 2013 · discussion on HN
- 10Named Entities in Law & Order Episodes2 people · 6 points · first shared 2013 · discussion on HN
- 11Naive Bayes in Python2 people · 6 points · first shared 2014 · discussion on HN
- 12SQL for pandas DataFrames2 people · 5 points · first shared 2013 · discussion on HN
- 13Rodeo 1.0: A Python IDE on Your Desktop2 people · 5 points · first shared 2015 · 1 comments on HN
- 14Python Multi-armed Bandits (and Beer)2 people · 4 points · first shared 2014 · 1 comments on HN
- 15Handwritten digit recognizer in Python2 people · 3 points · first shared 2013 · discussion on HN
What HN people wrote when they linked it
nekopa · 2013-10-08
Please, for all us mobile users, post a clickable link:
http://blog.yhathq.com/posts/ten-data-books.html
And by the way, thanks! Looks like some great books.
I especially like the fact that you did a good synopsis and a why you should read it for each book. I wish more posters would of this...
Edit ninja: to give props and why.
simoneau · 2015-12-30
By "native" they mean Electron-based deployment of HTML/JavaScript. More info:
http://blog.yhathq.com/posts/how-rodeo-works.html
furas · 2015-07-06
See pandasql: http://blog.yhathq.com/posts/pandasql-sql-for-pandas-dataframes.html
It uses SQLite too.
ssabev · 2015-04-24
Get Rodeo - http://blog.yhathq.com/posts/introducing-rodeo.html
And start playing around with the data!
rubyfan · 2015-01-17
yhat had a nice article on this exact subject and data set with a good walk through of the R code.
http://blog.yhathq.com/posts/machine-learning-for-predicting-bad-loans…
glamp · 2013-03-02
Berkley Course: http://alex.smola.org/teaching/berkeley2012/statistics.html
Scikit-Learn Docs: http://scikit-learn.org/dev/
Google Research: http://research.google.com/pubs/papers.html
Caltech Course: http://work.caltech.edu/telecourse.html
Basics in R: http://www.statmethods.net/advstats/glm.html
R packages for data science: http://blog.yhathq.com/posts/10-R-packages-I-wish-I-knew-about-earlier…