Back to Home
Menu
AnalyzeCore by Serhiy Bryl
— data is beautiful, data is a story
Back to Home
plot_05_1c
Author
Serhiy Bryl
Data Scientist
Categories
published
Jul 01, 2018
Like this:
Like
Loading...
Anomaly Detection for Business Metrics with R
Author
Serhiy Bryl
Data Scientist
Categories
published
Jul 01, 2018
Get new post notification
Please leave this field empty.
@AnalyzeCore on Telegram
Read similar posts below
No related photos.
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
Feel free to contact me via Social networks
View bryl.serg’s profile on Facebook
View Analyzecore’s profile on Twitter
View sergeybryl’s profile on LinkedIn
View 107638152425863174252’s profile on Google+
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
RSS
RSS - Posts
Similar Posts
None Found
%d
