En este informe se quitó las gráficas que están dando problemas.

Análisis gráfico de las variables incompletas de cada archivo de Unicientro

Se hizo analisis de codo y clusterización

Analisis Exploratorio de las pregutnas hechas a los clientes de Unicentro

Esto fue solicitado por Viviana Molinares y la idea era que el algoritmo tomara la hora original y elaborar analisis Multifactorial para ver correlaciones entre Valor fact y las demás variables relevantes

La idea es entender como se comporta el valor financiado para los clientes de Brilla de Alto Potencia y VIP

Modelo Predictivo para Estrato cinco de Brilla

Es una versión mas completa del análisis original. Cambios con respecto a la versión anterior Se incluyen datos desde 2015 hasta junio de 2016. Se hacen comparativos de paretos con valor total y con valor promedio. Se incluye el análisis de pareto para la variable segmentación. Se hace segmentación RFM para comparar a los clientes de acuerdo .

Versi[on resumida traducida al inglés

Análisis de tiendas y categorias Unicentro

Análisis original con imputacion de datos

análisis descriptivo de unicentro

Goal: To predict the next word you want to write using NLP and Mining text. It does not work with numbers.

The goal of this project is to understand the best practices to coach to the Managers from Crossover company about strategies to improve productivity.

it uses backoff algorithm to fin the three best choices

Milestone of tha capstone project

Capsotone projecto to predict next Word based on backoff algorithm

The goal of this project is just to display that you've gotten used to working with the data and that you are on track to create your prediction algorithm. Please submit a report on R Pubs (http://rpubs.com/) that explains your exploratory analysis and your goals for the eventual app and algorithm. This document should be concise and explain only the major features of the data you have identified and briefly summarize your plans for creating the prediction algorithm and Shiny app in a way that would be understandable to a non-data scientist manager. You should make use of tables and plots to illustrate important summaries of the data set.

The goal of this project is just to display that you’ve gotten used to working with the data and that you are on track to create your prediction algorithm. Please submit a report on R Pubs (http://rpubs.com/) that explains your exploratory analysis and your goals for the eventual app and algorithm. This document should be concise and explain only the major features of the data you have identified and briefly summarize your plans for creating the prediction algorithm and Shiny app in a way that would be understandable to a non-data scientist manager. You should make use of tables and plots to illustrate important summaries of the data set.

My purposal to implement a random forest algoritm tested with cross validation with K=10

project2 Rpres

Data product creation project

Slidify in R for Developing Data products