Clustering and anomaly detection tutorial
Green Accounting Data Analytics
Clustering and anomaly detection tutorial
14:08
Quantifying news graph
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Quantifying news graph
1:46
AutoML continuous variable
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AutoML continuous variable
4:24
AutoML binary variable
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AutoML binary variable
11:34
John Snow Map
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John Snow Map
2:20
Ensemble method for fraud prediction
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Ensemble method for fraud prediction
9:23
Outliers in finance
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Outliers in finance
3:25
Data preparation examples
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Data preparation examples
9:44
Private equity purchasing stakes in auditing firms
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Private equity purchasing stakes in auditing firms
1:36
Descriptive statistics in R
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Descriptive statistics in R
7:56
dplyr with pipe function
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dplyr with pipe function
6:31
Jones 1991
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Jones 1991
2:01
McDonald's 2025
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McDonald's 2025
1:07
Trucking deregulation
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Trucking deregulation
1:32
Pep Worx at PepsiCo
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Pep Worx at PepsiCo
1:28
AI and R code
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AI and R code
4:41
Examining the data frame
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Examining the data frame
3:56
Importing files
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Importing files
4:29
Install and load packages
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Install and load packages
3:12
RStudio console
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RStudio console
3:35
Beaver earnings announcement information content
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Beaver earnings announcement information content
2:21
Bernie Madoff Returns
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Bernie Madoff Returns
2:51
Options backdating
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Options backdating
3:14
R dashboard
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R dashboard
20:55
Other Packages for Outputting graphs and tables
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Other Packages for Outputting graphs and tables
36:11
Introduction to R Markdown
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Introduction to R Markdown
18:39
Model tuning with caret
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Model tuning with caret
33:09
Model building
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Model building
24:54
Anomaly detection - isolation forest
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Anomaly detection - isolation forest
30:54
K-means clustering
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K-means clustering
25:55
ggplot2 and outliers
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ggplot2 and outliers
29:13
Feature Creation with stringr and dplyr
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Feature Creation with stringr and dplyr
53:37
R for Excel Users
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R for Excel Users
53:37
WebScraping 15
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WebScraping 15
18:47
Getting Web API data intro 14
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Getting Web API data intro 14
11:02
Text Analysis 2 - other tools (13)
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Text Analysis 2 - other tools (13)
26:16
Initial Text Analysis Stringr 12
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Initial Text Analysis Stringr 12
28:34
Other Machine Learning Models
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Other Machine Learning Models
25:23
KNN regression
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KNN regression
22:13
Linear model (lm)
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Linear model (lm)
28:01
Automated reports RMarkdown 8
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Automated reports RMarkdown 8
23:05
GroupingSummarizing_7KNIME
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GroupingSummarizing_7KNIME
2:40
GroupingSummarizing_7
Green Accounting Data Analytics
GroupingSummarizing_7
11:47
Visualization_6
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Visualization_6
20:38
AnomalyDetection2 KNIME
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AnomalyDetection2 KNIME
6:55
Anomaly Detection 2
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Anomaly Detection 2
19:14
Anomaly Detection 1 KNIME
Green Accounting Data Analytics
Anomaly Detection 1 KNIME
7:14
Anomaly Detection 1
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Anomaly Detection 1
28:15
648 Class 1 Intro to R
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648 Class 1 Intro to R
5:41
KNIME Data Manipulation (3)
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KNIME Data Manipulation (3)
9:41
Data Manipulation (3)
Green Accounting Data Analytics
Data Manipulation (3)
22:32
KNIMEImportAndFormat2
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KNIMEImportAndFormat2
11:53
ImportAndFormat2
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ImportAndFormat2
21:40