Unsupervised
Building Predictive Models using Machine Learning
Models
Data Mining Techniques Overview
Exploring New Data Analysis Techniques
Clustering
Advanced Data Mining
Functionality
Machine Learning for Data Analysis 
Spam Detection, Credit Scoring
Unsupervised Learning Algorithms find patterns in data without prior labels
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Building Predictive Models using Machine Learning Linear Regression, Decision Trees, Support Vector Machines
Unsupervised Learning Involves training a model on unlabeled data to find hidden patterns
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Models Linear Regression, Decision Trees, Support Vector Machines
Unsupervised Learning Models that identify patterns in unlabeled data
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Data Mining Techniques Overview Clustering Clustering is an
unsupervised learning technique that involves grouping a set of objects in such a way that objects in the same group (or cluster) are more similar to each other than to those in other groups
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Exploring New Data Analysis Techniques Unsupervised Learning: Identifies patterns in data without pre-existing labels
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Clustering It is an
unsupervised learning technique, meaning that it does not rely on predefined labels for the data points
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Advanced Data Mining Unsupervised Learning: Used to find hidden patterns in unlabeled data
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Functionality Unsupervised Learning Involves training a model on unlabeled data to find hidden patterns or intrinsic structures
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Algorithm Optimization Machine Learning Techniques: Employing supervised learning and
unsupervised learning to optimize decision-making processes
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Exploring Opportunities in Machine Learning Unsupervised Learning: Involves training a model on data without labeled outcomes, allowing the model to identify patterns and groupings
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