Publications by VIctor H Torres
Assignment 2 Data 622
Introduction In Machine Learning, Experimentation refers to the systematic process of designing, executing, and analyzing different configurations to identify the optimal settings that performs best on a given task. Experimentation is learning by doing. It involves systematically changing parameters, evaluating results with metrics, and compari...
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Assignment 1
Introduction. This assignment focuses on one of the most important aspects of data science, Exploratory Data Analysis (EDA). Many surveys show that data scientists spend 60-80% of their time on data preparation. EDA allows you to identify data gaps & data imbalances, improve data quality, create better features and gain a deep understanding of ...
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Project2
INSTRUCTIONS Hide Assignment Information Instructions Project #2 (Team) Assignment This is role playing. I am your new boss. I am in charge of production at ABC Beverage and you are a team of data scientists reporting to me. My leadership has told me that new regulations are requiring us to understand our manufacturing process, the predictive ...
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Homework10
Instructions Imagine 10000 receipts sitting on your table. Each receipt represents a transaction with items that were purchased. The receipt is a representation of stuff that went into a customer’s basket - and therefore ‘Market Basket Analysis’. That is exactly what the Groceries Data Set contains: a collection of receipts with each line...
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Homework9
Do problems 8.1, 8.2, 8.3, and 8.7 in Kuhn and Johnson. Please submit the Rpubs link along with the .rmd file. library(tidyverse) library(mlbench) library(randomForest) library(caret) library(rpart) library(rpart.plot) library(party) library(partykit) library(gbm) library(AppliedPredictiveModeling) library(imager) Problems 8.1. Recreat...
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Homework8
Do problems 7.2 and 7.5 in Kuhn and Johnson. There are only two but they have many parts. Please submit both a link to your Rpubs and the .rmd file. library(tidyverse) library(fpp3) library(nnet) library(kernlab) library(AppliedPredictiveModeling) library(RANN) library(dplyr) library(mlbench) library(caret) library(earth) Problems 7.2....
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Homework7
Instructions In Kuhn and Johnson do problems 6.2 and 6.3. There are only two but they consist of many parts. Please submit a link to your Rpubs and submit the .rmd file as well. library(tidyverse) library(caret) library(AppliedPredictiveModeling) library(corrplot) Problems 6.2 Developing a model to predict permeability (see Sect. 1.4) could...
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Project 1
This project consists of 3 parts - two required and one bonus and is worth 15% of your grade. The project is due at 11:59 PM on Sunday Apr 11. I will accept late submissions with a penalty until the meetup after that when we review some projects. Parts Libraries library(readxl) library(fpp3) ## Warning: package 'fpp3' was built under R versio...
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homework6
Do the exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 in Hyndman. Please submit both the Rpubs link as well as your .rmd file. library(fpp3) ## Warning: package 'fpp3' was built under R version 4.4.1 ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching packages ──�...
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homework5
Do exercises 8.1, 8.5, 8.6, 8.7, 8.8, 8.9 in Hyndman. Please submit both the link to your Rpubs and the .pdf file with your run code library(fpp3) ## Warning: package 'fpp3' was built under R version 4.4.1 ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr ## ── Attaching package...
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