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Serhiy Bryl
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published
Jun 13, 2018
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Anomaly Detection for Business Metrics with R
Author
Serhiy Bryl
Categories
published
Jun 13, 2018
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Categories
Anomaly Detection
Attribution Model
Clustering
Cohort analysis
Customer Segmentation
Kaggle competition
LifeCycle Grids
LTV
Machine learning
R language
Sales Funnel
Sentiment Analysis
Sequential analysis
Visualization
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Tags
affective lexicons
animated plot
anomalies
business health
business metrics
churn
coronavirus
COVID-19
delta life-cycle grids
dictionary-based approach
doc2vec
events sequence
in-depth sequential analysis
LTV prediction
machine learning
marketing multi-channel attribution model
markov chain
mixed segmentation
outliers
retention rate
sales funnel
segmentation based on life-cycle grids
shifted-beta-geometric distribution
text analysis
time series
twitter sentiment analysis
visualization
Useful links
R-bloggers
Jobs for R-users
Marketing Productivity Blog by Jim Novo
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