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Complete Summary for Statistical Learning in Marketing for MADS (All Lectures + Step-by-Step R Code Guide for Team Assignment 1) CA$23.08   Add to cart
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Complete Summary for Statistical Learning in Marketing for MADS (All Lectures + Step-by-Step R Code Guide for Team Assignment 1)
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  • Course
  • Statistical Learning in Marketing (EBM214A05)
  • Institution
  • Rijksuniversiteit Groningen (RuG)

The best complete summary for Statistical Learning in Marketing for MADS (EBM214A05), it includes: All Lectures and an extensive step-by-step guide for Team Assignment 1. Enhanced with a dynamic table of contents and meticulous organization for readability and easy studying. Note that this course h...

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  • February 6, 2023
  • February 17, 2023
  • 152
  • 2022/2023
  • Summary

Subjects

  • ebm214a05
  • slm
  • mads
  • team assignment summary
  • team assignment guide
  • university of groningen
  • mads mad
  • statistical learning in marketing
  • marketing analytics and data science
  • rijksuniversiteit groningen
  • rug

Written for

  • Rijksuniversiteit Groningen (RuG)
  • Marketing Analytics & Data Science
  • Statistical Learning in Marketing (EBM214A05)
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SUMMARY OF EVERYT HING

LECTURES, CODE EXAMPLES, TIPS & STEP -BY-STEP ASSIGNMENT 1 GUIDE .
Note: This course has no readings.


Enhanced with a dynamic table of contents.

, MADS MADLAD |2




Note from MADS MADLAD:

Thank you for buying my summary. When I was writing these I sometimes
struggled with this program, but there were no summaries available. This is
why I decided to write something that is truly complete with a lot of effort put
into it.
It helped me and my friends get good grades, but I always had you in mind, the
future reader. When necessary, I always went the extra mile to make my
summaries, more readable, organized and complete.
If you feel like it, leave me a review of how the course is going using this
summary, it will make my day to hear your feedback.


Check out my other extensive summaries for other MADS courses:




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If you need help or have an inquiry, contact me: https://www.georgedreemer.com
Connect with me on LinkedIn: https://www.linkedin.com/in/georgedreemer/
Donations:
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, MADS MADLAD |3




wishes you g ood luck & persev erance.




Grades Testimony:

, MADS MADLAD |4


Table of Contents
Week 1 (Lecture 1)........................................................................................... 10
Lecture 1 – Intro to R + Intermediate R ......................................................... 10
Introduction to R: Variables, Vectors, Matrices, Factors, Data Frames and
Lists............................................................................................................ 10
Variables .............................................................................................. 10
Vectors ................................................................................................. 10
Matrices ............................................................................................... 10
Factors ................................................................................................. 11
Data Frames (DF).................................................................................. 11
Lists ...................................................................................................... 12
Intermediate R: Conditionals, Control flow, Loops, Functions, Apply family,
Utilities. ..................................................................................................... 12
Conditionals and Control Flow ............................................................. 12
- Relational operators ................................................................... 12
- Logical operators ........................................................................ 13
- Conditional Statements .............................................................. 13
Loops.................................................................................................... 14
- While loops ................................................................................ 14
- For loops .................................................................................... 14
Functions.............................................................................................. 15
Apply family ......................................................................................... 16
- Lapply ......................................................................................... 16
- Sapply ......................................................................................... 16
- Vapply ........................................................................................ 17
Utilities ................................................................................................. 17
- Data utilities ............................................................................... 18
- Importing Data in R .................................................................... 19
Week 2 (Lecture 2)........................................................................................... 20
Lecture 2 – Reducing data complexity .......................................................... 20

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