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Part 1 (midterm) summary Business Analytics: Week 1 - Week 3
- Summary • 22 pages • 2020
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Summary for the midterm of the course 'Business Analytics'. Includes all the reading material for week 1, 2, and 3. 

Week 1 --> Read chapter 2.1-2.2.
Week 2 --> Read chapter 10.1, 10.3
Week 3 --> Read chapter 3.1-3.3, 3.5

Also, check out my free summary of the knowledge clips from week 1 till week 3!
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Data Analysis and Visualisation Summary
- Summary • 41 pages • 2018
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This is a summary of the Data Analysis and Visualisation course taught at Utrecht University as part of the Applied Data Science (ADS) profile. Its contents are an extensive yet comprehensive summary of all chapters of the book Introduction to Statistical Learning (James et al.) and relevant papers. Topics touched upon are, among others, regression (linear and logistic), resampling, tree-based methods, classification, PCA, correspondence analysis, and cluster analysis.
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Part 2 summary Business Analytics: Week 5 - Week 7
- Summary • 17 pages • 2020
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Part 2 of the summary for the course 'Business Analytics'. Includes all the reading material for week 5, 6, and 7. 

Week 5 --> Read chapter 4.1-4.3
Week 6 --> Read chapter 5.1-5.2
Week 7 --> Read chapter 8.1-8.2.2
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Introduction to Statistical Learning
- Summary • 15 pages • 2019
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Summary of Introduction to Statistical Learning. Includes graphs examples from the book. Chapter 2, 3, 4, 5, 7
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Summary Statistical Computing (JBM050)
- Summary • 31 pages • 2021
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This extensive summary contains all the theory presented in the JBM050 Statistical Computing course given at the TU/e in cooperation with TiU in 2020/2021. It also includes examples and pseudocode to help you prepare well for the assignments and the exam!
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Summary lecture slides - Machine Learning - FEM31002
- Summary • 24 pages • 2020
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Summary of part of the lecture slides of the course Machine Learning using the book of G. James, D. Witten, T. Hastie and R. Tibshirani, called 'An Introduction to Statistical Learning - with Applications in R,'. This course is taught at the Erasmus University Rotterdam as part of the Master Econometrics and Management Science.
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Summary An Introduction to Statistical Learning, ISBN: 9781461471370 Big Data Analysis (7204MM17XY)
- Summary • 14 pages • 2021
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Summary of An Introduction to Statistical Learning - ISBN: 9781461471370 Big Data Analysis (7204MM17XY), Chapters 2-10. Excluding the algorithms, including function descriptions and visualisations for clarity.
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Linear regression
- Class notes • 5 pages • 2020
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- $7.85
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These are my notes of Linear regression which I prepared while learning data science and its various algorithms. They are very good and clear with all the basics. My juniors also referred the same botes and they are also learning data science now. They are well writen and well synthesized. You can also refer to them if you want to learn and understand linear regression algorithm in an easy and efficient manner.
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First week notes for Statistical Learning
- Class notes • 80 pages • 2021
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Essential notes by me from the course book