@dataszn

It’s data season, mannnnnnnn~

Joined June 2020
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I overexplained why Crouching Tiger Hidden Dragon wasn't a box office hit in China, based on my own experience as a nine year old in 2000. @Da7e @kateyrich @misterpatches
Data Season@dataszn24 Feb 2023
The latest @FITWR episode talked about why Crouching Tiger, Hidden Dragon wasn't a box office success in China. It reminds me of a time that's so different from now.
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The latest @FITWR episode talked about why Crouching Tiger, Hidden Dragon wasn't a box office success in China. It reminds me of a time that's so different from now.
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Hero, in comparison to CTHD, had way more luxury scenes. The idea that you would go to a movie only if it has huge set pieces continued for many years. That’s why the Transformers were so commercially successful in China.
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Bonus: I asked ChatGPT this question. It was right for reason 1,3,5 but so wrong in reason 2 - Chow Yun Fat was a king!
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Apply Functions in R with Examples [apply(), sapply(), lapply (), tapply()] dataquest.io/blog/apply-func…

Apply Functions in R with Examples [apply(), sapply(), lapply (), tapply()]

In this tutorial, we'll learn about the apply() function in R, including when to use it and why it's more efficient than loops.

dataquest.io
XGBoost versus Random Forest by Aman Gupta link.medium.com/pWA6awivyub

XGBoost versus Random Forest

This article explores the superiority of XGBoost over Random Forest subject to certain circumstances.

link.medium.com
Random Forest Feature Importance Computed in 3 Ways with Python | MLJAR mljar.com/blog/feature-impor….

Random Forest Feature Importance Computed in 3 Ways with Python

Learn 3 ways to compute Random Forest feature importance in Python and interpret model drivers with reliable methods.

mljar.com
Why is pruning not needed for random forest trees? stats.stackexchange.com/q/36…
A Gentle Introduction to the Bootstrap Method machinelearningmastery.com/a…

A Gentle Introduction to the Bootstrap Method - MachineLearningMastery.com

The bootstrap method is a resampling technique used to estimate statistics on a population by sampling a dataset with replacement. It can be used to estimate summary statistics such as the mean or...

machinelearningmastery.com
Bootstrapping (statistics) - Wikipedia en.wikipedia.org/wiki/Bootst…

Bootstrapping (statistics) - Wikipedia

en.wikipedia.org
Explaining Feature Importance by example of a Random Forest by @erykml1 in @TDataScience towardsdatascience.com/expla…

Explaining Feature Importance by example of a Random Forest

Learn the most popular methods of determining feature importance in Python

towardsdatascience.com
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