This R Markdown document provides a step-by-step guide to cleaning and modifying ICC Test rankings data, which was initially scraped from a webpage using the html_table() function. The document continues the data processing journey by addressing specific issues related to data formatting and string manipulation. The key tasks performed include cleaning the "TEAMS" column by removing numeric prefixes and creating new columns to calculate total wins and losses for each team based on their performance data.

Modélisation actuarielle de la vie

Tortugas en el GoMx

Ejercicio entregable en r #1

The problem of predicting concrete compression strength, vital for ensuring the safety and durability of civil engineering structures, was first addressed by Prof. I-Cheng Yeh in 2007, building on his 1998 research. This project, using Yeh's dataset, aims to optimize concrete performance by exploring the effects of ingredient concentrations and testing age on compression strength. By applying advanced machine learning techniques, the goal is to create a predictive model that improves accuracy and provides insights into the factors influencing concrete strength, ultimately enhancing material design and construction practices.

In the earlier module, Breast_Cancer_Expression_Data, we examined the mRNA levels for 18,351 genes across 1,082 breast cancer patients. In another activity, Heatmaps, we worked with the smaller data set `mtcar` and saw how the function `heatmap()` can reorder objects in our data set to reveal patterns in the data: Objects and features in the same clusters are more similar to each other than to those in other clusters. Here, we apply these concepts and skills to the TCGA clinical and gene expression features.

tarea de ley de enfriamiento de newton