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Best selling Data Science for Business notes
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Full summary of Data Science for Business (ch 1-14) (Grade 8,5)
- Summary • 57 pages • 2020 Popular
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Full summary of the book 'Data science for business' including graphs and pictures from the book!
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Data science for business Book & Lecture slides
- Summary • 58 pages • 2019 Popular
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- $7.79
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Lecture slides and summary of the book
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Complete summary strategy analytics book & lecture
- Summary • 64 pages • 2020 Popular
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This summary comprises all subjects for the course strategy analytics, containing both summary of the book and lecture notes.
Do you also write study notes yourself? Put them up for sale and earn every time your document is purchased.
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Summary course Strategy Analytics (Grade Assignments 9)
- Summary • 39 pages • 2021 Popular
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Complete summary of: 
- Book: Data Science for Business (Provost & Fawcett) 
- Case studies summary and answers (P. Snoeren) 
 All exam materials needed next to the lecture slides!
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Strategy Analytics Summary of all Lectures and Cases
- Summary • 29 pages • 2019 Popular
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Strategy Analytics - Master Strategic Management
Summary of all Lectures and Cases - All you need to know
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Machine Learning (Data Mining) - Samenvatting (slides en handboek)
- Summary • 129 pages • 2023 Popular
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Behaalde score: (17/20); Kwalitatieve, uitgebreide, duidelijke, allesomvattende (alle behandelde hoofdstukken) (128p) samenvatting (in Engels) van het vak Data Mining gebaseerd op het handboek, eigen notities en de slides. Recentelijk geschreven en gebruikt (2022).
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Summary Big data management & Analytics. Grade: 8.8
- Summary • 84 pages • 2020 Popular
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Summary of the course BDMA. Grade achieved: 8.8
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Summary Strategy Analytics
- Summary • 43 pages • 2020 Popular
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Summary of all the lectures WITH additional information from the book added to each concept. The most complete summary you will get that helps you receiving a high grade
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Business Intelligence 2019-2020
- Summary • 97 pages • 2020 Popular
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Business Intelligence by Prof. Len Lemaire (3rd bach 'Handelswetenschappen'/ subject of choice 'BPM'). Full summary of the slides and the book 'Data science for business'. (in English)
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Summary Data Science for Business - Provost & Fawcett
- Summary • 53 pages • 2020 Popular
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Extensive summary for the Data Science for Business course, Based on the book Data Science for Business (Provost & Fawcett). 
Chapters included are Ch 1, 2, 3, 4, 5, 6, 7, 8 and 9.
Newest Data Science for Business summaries
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Strategy Analytics Notes + Book
- Class notes • 45 pages • 2024 New
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- $7.04
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The document has all my notes from the classes and videos. I integrated all the book parts that were missing from the lectures, but I would recommend reading the chapter the professor requires before class, it makes things easier. The case studies are missing. My final grade for the exam was 8,42, and I only studied these notes
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Machine Learning - Summary
- Summary • 64 pages • 2024 New
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A detailed summary of the lessons of Machine Learning taught by David Martens at the University of Antwerp. This is a summary of my own notes, the slides and the book Data Science for Business.
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Machine Learning (Data Mining) - Samenvatting (slides en handboek)
- Summary • 129 pages • 2023 New
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- $10.02
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Behaalde score: (17/20); Kwalitatieve, uitgebreide, duidelijke, allesomvattende (alle behandelde hoofdstukken) (128p) samenvatting (in Engels) van het vak Data Mining gebaseerd op het handboek, eigen notities en de slides. Recentelijk geschreven en gebruikt (2022).
Do you also write study notes yourself? Put them up for sale and earn every time your document is purchased.
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Datamining_for_DataSci&Anlyc_NEC_Week6_Solved
- Exam (elaborations) • 8 pages • 2023 New
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Study this example: 
Copy and paste the provided R source code into an R markdown file and make it run. 
Weave an explanation of the model and it's conculsions into your markdown file.
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Datamining_for_DataSci&Anlyc_NEC_Week5_Solved
- Exam (elaborations) • 37 pages • 2023 New
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Using Chapter 5, we will experiment with association analysis.
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Datamining_for_DataSci&Anlyc_NEC_Week4_Solved
- Exam (elaborations) • 38 pages • 2023 New
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Using Chapter 4, let's look at other ways to do classification - nearest neighbors, decisions trees, support vector machines, even neural nets.
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Datamining_for_DataSci&Anlyc_NEC_Week3_Solved
- Exam (elaborations) • 32 pages • 2023 New
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Using Chapter 3, let's about classification. This week we will be using the zoo dataset, another common dataset among data mining classes.
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Datamining_for_DataSci&Anlyc_NEC_Week2_Solved
- Exam (elaborations) • 49 pages • 2023 New
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Using Chapter 2, let's learn how to explore data. We will be using the Iris dataset which is commonly one of the first datasets used in data mining classes.
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Datamining_for_DataSci&Anlyc_NEC_Week1B_Solved
- Exam (elaborations) • 2 pages • 2023 New
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Edit the provided R Markdown document so that It contains your name and then knit it as HTML.
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Datamining_for_DataSci&Anlyc_NEC_Week1A_Solved
- Exam (elaborations) • 3 pages • 2023 New
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We will be using examples from the book An R Companion for Introduction to Data Mining by Michael Hahsler. 
Every week you will be assigned a new example from this book. The instructions for each week are identical: 
copy and paste the source code into R studio and run it. 
understand what it does, 
explain how the dataset is processed, 
generate every graph, etc. 
document your work in an R Markdown document.