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- Introduction to Predictive Analytics
- Welcome introduction and agenda
- Introduction to Predictive Analytics
- Describing Predictive Analytics
- Describing SAP Predictive Analytics
- Outlining Predictive Analytics Project Frameworks
- Detailing SAP Analytics Use Case examples
- Foundations of Automated Analytics (1)
- Explaining SAP Predictive Analytics Data Types and Storage
- Defining Automated Data Encoding Fundamentals
- Describing Model Building in SAP Predictive Analytics
- Predictive Factory
- Describing Predictive Factory
- Listing the SAP Predictive Factory Roles
- Describing the SAP Predictive Factory Server Setup
- Checking Data Descriptions
- Building a Time Series Model in SAP Predictive Factory
- Explaining Segmented Time Series Modeling
- Describing Classification Models
- Building a Classification Model in SAP Predictive Factory
- Explaining Classification Model Output
- Interpreting the Error Matrix
- Applying a Classification Model
- Creating and Scheduling Tasks
- Explaining Regression Modeling in SAP Predictive Factory
- Building a Regression Model
- Describing Deviation Analysis
- Importing Models from SAP Predictive Analytics into Predictive Factory
- Data Manager
- Explaining Data Preparation
- Outlining Data Manipulation in SAP Predictive Anaytics
- Outlining Data Manager
- Using Data Manager and Toolkit
- Classification Modeling with Modeler
- Building a Classification Model with Modeler
- Explaining the Confusion Matrix
- Applying a Model
- Performing Deviation Analysis in Modeler
- Outlining Advanced Functionality
- Advanced Data Description Functionality
- Regression Modeling with Modeler
- Training a Regression Model
- Explaining Regression Model Output
- Improving Regression Model Performance
- Applying a Regression Model
- Clustering with Automated Analytics
- Explaining Clustering and Segmentation
- Describing Supervised and Unsupervised Clustering
- Explaining Cluster Range
- Explaining Cluster Model Outputs
- Applying the Cluster Model
- Building a Cluster Model in SAP Predictive Analytics
- Time Series with Modeler
- Building aTime Series Model with Modeler
- Social and Recommendation
- Building a Social Network (link) Model using Telco CDR Data
- Building a Product Recommendation Model using Link Analysis
- Foundations of Automated Analytics (2)
- Outlining Data Partition Strategies in SAP Predictive Analytics
- Explaining the Foundations of Automated Modeling
- Describing the Data Encoding Process
- Advanced Model Curves
- Final Exercise
- SAP Creating a Retail Analysis
