Publications by Elias Lobato
Brand preference prediction
1 Introduction In this work we have been asked to work with data mining tools to resolve some problems of the electronic devices company Blackwell Electronics. This company has made some surveys in order to know better customers, but some surveys have unresponsed questions, more specifically which computer brand they prefer. We can use customer r...
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Iris linear regression
1 Introduction In this work, we are going to predict the petal length of different flower species. For that we will perform a linear regression analysis. We are handling a data set containing information of iris flower which each sepal length and width and each petal length and width. 2 Data Analysis 2.1 Import Data First, we need to import our...
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ggplot2 workshop
First step is to install packages that will be used and then call its libraries with the function library(). library(readr) library(ggplot2) library(DMwR) library(lawstat) library(lmtest) library(car) library(gridExtra) library(dplyr) The graphics that will be studied will take the demographic data of Blackwell´s company customers as ex...
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Introduction to R
Introduction to R Herein, an introduction to R is explained using as example a data set of cars containing 50 values and 3 variables. The 3 variables are the name of brands of different cars, the distance that each car can get and the speed that each car can get. In this example it is planned to perform a linear regression model in order to predi...
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Document
1 Introduction Blackwell Electronics’ board of directors is considering acquiring Electronidex, a start-up electronics online retailer. We have been asked to understand the clientele of Electronidex and provide some insights to make the best decision. We have been provided with a data set that contains one month’s (30 days’ worth) of Electr...
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New products prediction (Multiple Regression)
1 Introduction In this work we have to predict the volume sales in four different product types while assessing the effects service and customer reviews have on sales. We’ll be using Regression to build machine learning models for this analyses. Once we have determined which algorithm works better on the provided data set, we will predict the s...
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