One Class Svm
Analyzing Consumer Purchase Behavior
Practical Applications of Machine Learning Techniques
Document Classification
Supervised Learning Techniques
How to Optimize Machine Learning Models
Measuring Predictive Analytics Success Metrics
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Analyzing Consumer Purchase Behavior 
Cultural Factors: Culture, subculture, and social
class play a crucial role in shaping consumer behavior and preferences
...
Practical Applications of Machine Learning Techniques Key Techniques Anomaly Detection: Techniques such as Isolation Forest and
One-
Class SVM are used to identify unusual patterns
...
Document Classification Document
classification is a crucial task in the field of business analytics and text analytics, involving the categorization of documents into predefined classes or categories based on their content
...Email filtering, sentiment analysis Support Vector Machines (
SVM) A supervised learning model that finds the optimal hyperplane to separate different classes
...
Supervised Learning Techniques Supervised learning techniques can be broadly categorized into
classification and regression methods
...Fraud detection, risk assessment Support Vector Machine (
SVM) A supervised learning model that finds the hyperplane that best separates different classes in the feature space
...Linear Regression A method that models the relationship between a dependent variable and
one or more independent variables by fitting a linear equation
...
How to Optimize Machine Learning Models Feature Selection: Identify and retain the most relevant features while removing irrelevant or redundant
ones
...Binary and multiclass
classification problems
...
Measuring Predictive Analytics Success Metrics precision and recall, the F1 score provides a balance between the two metrics, making it useful in scenarios with imbalanced
class distributions
...
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...LEXO-Tags: City, Cities, Geography, Cities, World,
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