Publications by Lindsay Pritikin

Week 4 Assignment - Lindsay Pritikin

16.09.2020

This is R Markdown You can create nice publishable documents using R Markdown You should be comfortable using R Markdown for your R assignments. You can find cheatsheets for R Markdown here https://rmarkdown.rstudio.com/lesson-1.html Let’s begin the assignment. Import the data.table and ggplot2 packages. If they are not already installed ins...

3740 sym R (1400 sym/19 pcs) 14 img

Week 5 Assignment

25.09.2020

Assignment Overview In this assignment, we will learn some basics of using machine learning in R. We’ll use a few different machine learning algorithms on binary classification data. Note that this is only one of the many ways of using machine learning. Most of the common ways of using machine learning include: supervised learning classifica...

12072 sym R (10352 sym/51 pcs) 10 img

Week 7 Assignment_Supervised Learning_Lindsay Pritikin

06.12.2020

I. Introduction (10 points). In this assignment, we will explore Supervised Learning. Supervised Learning algorithms use input data and response values to train the machine learning model to predict response values for future data. There are two categories of these algorithms: Classification and Regression. For this assignment, we will be focusin...

14054 sym R (12899 sym/20 pcs)

Week 7 Assignment - Supervised Learning

07.12.2020

I. Introduction (10 points). In this exercise, we will explore Supervised Learning. Supervised Learning algorithms use input data and response values to train the machine learning model to predict response values for future data. There are two categories of these algorithms: Classification and Regression. For this assignment, we will be focusing ...

14073 sym R (12899 sym/20 pcs)

MSDS 660 Week 2 Assignment

27.03.2021

Introduction The purpose of this assignment is to perform linear regression on two variables from the Carseats data set. This data set contains child car seat sales for 400 store locations including prices, competitor prices, and other information about the store locations and communities in which they operate. Lab To start, we will install the ...

14194 sym R (7344 sym/53 pcs) 8 img

MSDS 660 Week 3 Assignment

27.03.2021

Introduction The purpose of this assignment is to perform multiple linear regression on the Carseats data set. This data set contains child car seat sales for 400 store locations including prices, competitor prices, and other information about the store locations and communities in which they operate. Lab This data set contains sales of child ca...

9005 sym R (4070 sym/24 pcs) 6 img