Data Classification
Data Mining Techniques for HR
Techniques
Data Governance Framework for Community Engagement
Key Metrics for Analytics
Data Governance Considerations for Startups
Key Machine Learning Algorithms
Data Policies
Strategies for Text Analysis 
It involves the use of various techniques and methods to extract meaningful insights from unstructured
data ...Text
Classification Text classification involves categorizing text into predefined labels
...
Data Mining Techniques for HR Data mining techniques in Human Resources (HR) involve the use of advanced analytical methods to extract valuable insights from large datasets related to employee performance, recruitment, retention, and overall workforce management
...Technique Description Applications in HR
Classification This technique categorizes data into predefined classes
...
Techniques of business analytics, text analytics plays a crucial role in enabling organizations to derive insights from unstructured
data ...Text
Classification Text classification involves assigning predefined categories to text based on its content
...
Data Governance Framework for Community Engagement The
Data Governance Framework for Community Engagement is a structured approach designed to ensure that data related to community engagement activities is managed effectively and ethically
...An effective framework should include: Data
classification Retention policies Archiving procedures Data disposal methods 5
...
Key Metrics for Analytics business analytics and machine learning, key metrics play a crucial role in evaluating the performance of models, understanding
data characteristics, and driving decision-making processes
...Classification problems Precision The ratio of true positive predictions to the total predicted positives
...
Data Governance Considerations for Startups Data governance is a critical aspect of managing data assets within an organization
...Create comprehensive data policies that address: Data access and sharing Data retention and disposal Data
classification and labeling 4
...
Key Machine Learning Algorithms Machine Learning (ML) is a subset of artificial intelligence that enables systems to learn from
data and make predictions or decisions without being explicitly programmed
...Sales forecasting, real estate pricing Logistic Regression Used for binary
classification tasks, predicting the probability of a categorical outcome
...
Data Policies Data policies are a set of guidelines and rules that govern the collection, storage, use, and dissemination of data within an organization
...Data
Classification Policy: Categorizes data based on sensitivity and establishes handling procedures
...
Predictive Analytics Models Predictive analytics models are statistical techniques that use historical
data to predict future outcomes
...can be broadly categorized into several types based on their methodologies and applications: Regression Analysis
Classification Models Time Series Analysis Clustering Models Neural Networks 1
...
Methods In the realm of business analytics and statistical analysis, various methods are employed to extract insights from
data, enabling organizations to make informed decisions
...Classification Algorithms: Techniques like decision trees and support vector machines to categorize data
...
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