Classification Models
Text Analytics
Using Data Analysis for Risk Management
Enhancing Risk Assessment Through Analytics
Measuring Predictive Analytics Success Metrics
Predictive Modeling
Methodology
Implementing Predictive Analytics Best Practices
Data Mining Techniques Summary 
Classification Classification is a supervised learning technique used to categorize data into predefined classes or groups
...K-Means Clustering Hierarchical Clustering DBSCAN Gaussian Mixture
Models (GMM) 3
...
Text Analytics (K)
Machine Learning: Algorithms that learn from data to improve the accuracy of text
classification and sentiment analysis
...Machine Learning Platforms like TensorFlow and Scikit-learn that support building and deploying machine learning
models ...
Using Data Analysis for Risk Management 2 Predictive Analysis Predictive analysis uses statistical
models and machine learning algorithms to forecast future risks
...Key techniques include: Regression analysis Time series analysis
Classification algorithms (e
...
Enhancing Risk Assessment Through Analytics aggregation Data visualization Statistical analysis Predictive Analytics Predictive analytics uses statistical
models and machine learning techniques to forecast future events based on historical data
...Key methods include: Regression analysis Time series analysis
Classification algorithms Prescriptive Analytics Prescriptive analytics goes a step further by recommending actions based on predictive outcomes
...
Measuring Predictive Analytics Success Metrics ROC-AUC: The area under the receiver operating characteristic curve (ROC-AUC) is a performance measurement for
classification problems at various threshold settings
...Evaluating Predictive
Models To effectively measure the success of predictive analytics, organizations must evaluate their models systematically
...
Predictive Modeling Types of Predictive
Models There are several types of predictive models, each suited for different types of data and business needs
...Factors to consider include: The nature of the problem (
classification vs
...
Methodology Simulation A technique that
models the operation of a system over time to predict its behavior under various scenarios
...Decision Trees A graphical representation of decisions and their possible consequences, used for
classification and regression
...
Implementing Predictive Analytics Best Practices Common types of predictive
models include: Regression Analysis: Used for predicting continuous outcomes
...Classification Algorithms: Suitable for categorical outcomes
...
Directions Prescriptive Analytics: Provides recommendations for actions based on predictive
models ...1 Key Directions in Data Mining
Classification: Assigning items in a collection to target categories or classes
...
Techniques for Successful Predictive Analysis demand prediction Logistic Regression A regression model used for binary
classification problems
...Fraud detection, customer segmentation Neural Networks Computational
models inspired by the human brain, suitable for complex pattern recognition
...
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