Exercises

Title Languages Popularity
0. Network packages in R
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R
packages
Wilkinson matrix
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R
wilkinsonmatrix, wilkinson matrix
Factor from blood.glucose
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R
factor van blood.glucose, factor from blood.glucose
Practicum 6.1 Additief Lineair Model (Vraag 6)
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R
Linear regression: obama_vs_mccain
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R
lineaire regressie: obama_vs_mccain, linear regression: obama_vs_mccain
2.6. Tm package - Dimensionality reduction
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R
textmining
3.6.9 Sum of the first n squares (II)
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R
1.2. Event Attendance - Variable importance
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R
random
1.1. Scraping - Rvest
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R
rvest
4. ERGM
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R
ergm
3.1. Clickstream - Removing bots
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R
webanalytics, clickstream
10.13.4. 3D Plots
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R
Sum of squares
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R
som van kwadraten, sum of squares
Logical values and tests
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R
logische waarden en testen, logical values and tests
5.2. Network clustering - The behavior of Q
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R
clustering
3. Network visualisation
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R
visualisation
Workspace
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R
workspace
3.3. Machine learning approach - Singular Value Decomposition
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R
sentimentanalysis
Practicum 7.2 Algemeen Lineair Model (Vraag 17)
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R
2.2. Social network learning - Relational neighbor classifier
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R
learning
Practicum 8.1 Categorische (Vraag 16)
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R
6.3. Homophily - Network Properties
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R
homophily
Practicum 6.1 Additief Lineair Model (Vraag 5)
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R
Harmonic mean
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R
harmonisch gemiddelde, harmonic mean
1.1. Word embeddings - Word2Vec
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R
word2vec
Practicum 8.1 Categorische (Vraag 4)
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R
Tutorial exercise contextWithImage
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R
2.3. Tm package - Text preprocessing B
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R
textmining
2.3. Markov Chain - Predicting with new probabilities
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R
webanalytics, markovchain
4. Wordclouds
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R
textmining, wordclouds