Instructor Led Principal Component Analysis Training - Training Resources
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From Rapid Progress Marketing and Modeling, LLC
The Essentials of Data Mining and Predictive Modeling for Internet and Direct Marketers
DESCRIPTION
"Data Mining and Predictive Modeling" are intertwined buzzwords that wea ve all heard. And perhaps youa re not quite sure what they mean or how they differ. While this is an incredibly important question to answer, the even more vital question is, "How do I make them meaningful?" This course addresses all of these questions in detail.
Though frequently thought of in terms of
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DESCRIPTION
"Data Mining and Predictive Modeling" are intertwined buzzwords that wea ve all heard. And perhaps youa re not quite sure what they mean or how they differ. While this is an incredibly important question to answer, the even more vital question is, "How do I make them meaningful?" This course addresses all of these questions in detail.
Though frequently thought of in terms of
more...
Advanced Data Mining and Predictive Modeling for Internet and Direct Marketers
DESCRIPTION
"Advanced" data mining and predictive modeling dives into the more sophisticated data mining and modeling techniques that an increasing number of enterprises are employing to generate huge impacts on their bottom lines, whether it be through the internet or through direct marketing channels.
Long gone are the days when data was scarce. In the modern world, wea re drowning in data
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DESCRIPTION
"Advanced" data mining and predictive modeling dives into the more sophisticated data mining and modeling techniques that an increasing number of enterprises are employing to generate huge impacts on their bottom lines, whether it be through the internet or through direct marketing channels.
Long gone are the days when data was scarce. In the modern world, wea re drowning in data
more...
From Creascience
Multivariate Techniques for Sensory and Consumer Studies
...rst two days, classical multivariate techniques including Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis and Discriminant Analysis are presented and their usefulness for sensory and consumer data is illustrated with case studies based on real data.
The last day is dedicated to alternative and less known applications of these methods to address
more...
...rst two days, classical multivariate techniques including Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis and Discriminant Analysis are presented and their usefulness for sensory and consumer data is illustrated with case studies based on real data.
The last day is dedicated to alternative and less known applications of these methods to address
more...
From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)
...riate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial
# Least Squares (PLS)
# Relevant data collection
# Multivariate modeling step by step
# Pretreatment and scaling
# Detecting and dealing with outliers
# Calibration, validation
# Prediction
# The
more...
...riate methods useful?
# Principles and applications of:
# Principal Component Analysis (PCA)
# Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial
# Least Squares (PLS)
# Relevant data collection
# Multivariate modeling step by step
# Pretreatment and scaling
# Detecting and dealing with outliers
# Calibration, validation
# Prediction
# The
more...
From Creascience
Principal Component Analysis and its Applications
...Principal Component Analysis (PCA) is a multivariate method which can identify redundancy or correlation among a set of measurements or variables for the purpose of data reduction. This powerful exploratory tool provides insightful graphical summaries with ability to include additional information as well.
This training course discusses the limitations of traditional descriptive tools for
more...
...Principal Component Analysis (PCA) is a multivariate method which can identify redundancy or correlation among a set of measurements or variables for the purpose of data reduction. This powerful exploratory tool provides insightful graphical summaries with ability to include additional information as well.
This training course discusses the limitations of traditional descriptive tools for
more...
Multivariate Data Analysis Summer School
This 5-day course, offered in English, focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis.
more...
This 5-day course, offered in English, focuses on the practical aspects of the most widely used multivariate methods: Principal Component Analysis (PCA), Factor Analysis, Correspondence Analysis, Cluster Analysis, Discriminant Analysis and Canonical Analysis.
more...
From Camo Inc.
Multivariate Data Analysis
...riate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with outliers
Calibration, validation
Prediction
The
more...
...riate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with outliers
Calibration, validation
Prediction
The
more...
