Fichas
Data Science
Fichas del conjunto (34)
- 1Clustering: What is clustering?Clustering is a data mining technique used to organise objects into groups that have similar characteristics.
- 2Clustering: What is the least number of variables needed to perform Clustering?One
- 3Clustering: What is the goal of clustering a set of vectors?To divide them into groups of vectors that near each other
- 4Clustering: Name as many different types of clustering as you can- K-Means
- DBSCAN
- Graph Community Detection - 5Clustering: The most common used measure of similarity is _____ distance or it's squareEuclidean
- 6Clustering: What is K-Means?K-Means is an algorithm that will group object by nearest neighbour
- 7Clustering (K-Means): K-Means only works for data in what format?Numerical
- 8Clustering (K-Means): What 3 data attributes causes inaccurate results in K-Means?1. Data that has outliers
2. Data that has non-convex (not circular) shape
3. Data that has a round shape - 9Clustering (K-Means): K-means is an iterative algorithm. Which two steps are repeatedly carried out in its inner-loop?1. Move the cluster centroids, where the centroids μk are updated
2. Parameters c are updated when the clusters are assigned to
the closest centroid - 10Clustering (K-Means): K-Means is also known as...Non-hierarchical
- 11Clustering (K-Means): What is Within the Sum of Square?For each cluster, it is the sum of the squared distances of points in that cluster to their center, summed over the clusters
- 12Clustering: ?Groups or clusters are suggested by the data and are not
defined a priori. - 13Clustering: ?Objects in each cluster are similar to each other and unlike
objects in other clusters. - 14Association RulesAssociation rule mining is a data mining technique used to discover frequent patterns and associations among items in a (often transactional) dataset. Sometimes it is called market-basket analysis.
- 15Association Rules: ItemsetA group of items that occur together.
- 16Association Rules: SupportEach itemset can have a support level, which is the percentage of times it appears in a dataset.
- 17Association Rules: Association RuleThe statement of itemsets that occur together.
{Hotdog} => {Bun, Ketchup} - 18Association Rules: ConfidenceConfidence is an indication of how often the rule has been found to be true.
Support of LHS + RHS / Support LHS - 19Association Rules: LiftLift is a measure of how many times more often X and Y occur together than expected if they are statistically independent of each other.
Support of LHS + RHS / (Support LHS * Support of RHS) - 20Association Rules: List the different Association Rule algorithms.- Apriori
- ECLAT
- FP-Growth
- AprioriTID
Aprioiri Hybrid - 21Association Rules: ?For a given number of items n, there is a larger number of possible rules than possible itemsets.
- 22Association Rules: Which measure of association needs to not be too small in order to ensure that the rule has not just occurred by chance?n
- 23Association Rules: The definition of a frequent itemset is...An itemset whose support is greater than the support threshold
- 24Association Rules: What is a sparse matrix?A matrix with mostly 0 entries
- 25Association Rules: Is the support of the rule A → B the same or different as the support of the rule A → B is?Same
- 26Association Rules: In general, an association rule A → B tells us that...If A occurs, then B is likely to occur too
- 27Association Rules: ?If an itemset is infrequent, then all of its supersets are infrequent
- 28Visualisation: What are the 3 main python libraries for visualisations?1. Matplotlib
2. Seaborn
3. Bokeh - 29Visualisation: What Charts can you use for Comparison of Data?- Bar
- Column
-Pie (although DF don't like it)
- Scatter Plot
- Line - 30Visualisation: What Charts can you use to show Composition of Data?- Pie
- Stacked Bar
- Stacked Column
- Area
- Waterfall - 31Visualisation: What Charts can you use to show Distribution of Data?- Scatter Plot
- Line
- Column
- Bar - 32Visualisation: What Charts can you use to show Trends within Data?- Line
- Dual-Axis Line
- Column - 33Visualisation: What Charts can you use to show the the relationship between value sets?- Scatter Plot
- Bubble
- Line - 34Regression: What are the limits for statistically significant correlation?
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- Descripción
- Diploma Data Science Fichas sobre Data Science, creado por Sarah Sandison el 07/06/2019.
- Creado por
- Sarah Sandison
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