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Jun 13, 2018

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Anomaly Detection for Business Metrics with R

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published

Jun 13, 2018

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Categories

AI & Analytics
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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affective lexicons AI animated plot anomalies business health business metrics churn coronavirus COVID-19 critical thinking data analytics data quality 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 product analytics retention rate sales funnel segmentation based on life-cycle grids shifted-beta-geometric distribution text analysis time series twitter sentiment analysis visualization

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