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Facebook Friend Recommendation using Graph Mining
EDA:Follower and following stats.
EDA:Follower and following stats.
Instructor:
Applied AI Course
Duration:
12 mins
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EDA:Basic Stats
EDA:Binary Classification Task
Facebook Friend Recommendation using Graph Mining
1.1
Problem definition
6 min
1.2
Overview of Graphs: node/vertex, edge/link, directed-edge, path.
11 min
1.3
Data format & Limitations.
9 min
1.4
Mapping to a supervised classification problem.
9 min
1.5
Business constraints & Metrics.
7 min
1.6
EDA:Basic Stats
14 min
1.7
EDA:Follower and following stats.
12 min
1.8
EDA:Binary Classification Task
16 min
1.9
Kartz Centrality
6 min
1.10
HITS Score
10 min
1.11
SVD
11 min
1.12
Weight features
6 min
1.13
Modeling
10 min
1.14
EDA:Train and test split.
11 min
1.15
Feature engineering on Graphs:Jaccard & Cosine Similarities
15 min
1.16
PageRank
14 min
1.17
Shortest Path
4 min
1.18
Connected-components
12 min
1.19
Adar Index
12 min
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