From 037835760d40a8bb3029a7290a7f9e56001c5861 Mon Sep 17 00:00:00 2001 From: Ulises Javier Gonzalez Diaz Date: Mon, 17 Jun 2024 13:37:43 -0500 Subject: [PATCH] update --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 02833c4..b7342b5 100644 --- a/README.md +++ b/README.md @@ -250,10 +250,10 @@ Tuesday | Thursday * Ejercicio con los datos del jugador de la NBA ([cuaderno] (cuaderno/08_nba_knn.ipynb), [data] (https://github.com/justmarkham/dat4-students/blob/master/kerry/final/nba_players_2015.csv), [Dicción de datos] (https://github.com/justmarkham/dat-project-examples/blob/master/pdf/nba_paper.pdf))) * Explorando la compensación de varianza de sesgo ([cuaderno] (cuadernos/08_bias_variance.ipynb)) -**Homework:** -* Reading assignment on the [bias-variance tradeoff](homework/09_bias_variance.md) -* Read Kevin's [introduction to reproducibility](http://www.dataschool.io/reproducibility-is-not-just-for-researchers/), read Jeff Leek's [guide to creating a reproducible analysis](https://github.com/jtleek/datasharing), and watch this related [Colbert Report video](http://thecolbertreport.cc.com/videos/dcyvro/austerity-s-spreadsheet-error) (8 minutes). -* Work on your project... your first project presentation is in less than two weeks! +**Tarea:** +* Asignación de lectura en la [compensación de varianza de sesgo] (tarea/09_bias_variance.md) +* Lea la [Introducción a la reproducibilidad] de Kevin (http://www.dataschool.io/reproducibilidad-is-not-just-for-researchers/), lea la guía de Jeff Leek para crear un análisis reproducible] (https: // github.com/jtleek/dataHaring), y vea este video relacionado [Video de Informe de Colbert] (http://thecolberstreport.cc.com/videos/dcyvro/austerity-s-sepersheet-error) (8 minutos). +* Trabaje en su proyecto ... ¡su primera presentación del proyecto está en menos de dos semanas! **KNN Resources:** * For a recap of the key points about KNN and scikit-learn, watch [Getting started in scikit-learn with the famous iris dataset](https://www.youtube.com/watch?v=hd1W4CyPX58) (15 minutes) and [Training a machine learning model with scikit-learn](https://www.youtube.com/watch?v=RlQuVL6-qe8) (20 minutes).