Analysis and Predictive Modelling
1
Introduction
1.1
Predictive Analysis
1.1.1
Definition of Predictive Analysis
1.1.2
Types, Techniques, and Data in Predictive Analytics
1.2
Predictive Analysis Concepts
1.2.1
Why Use Predictive Analysis?
1.2.2
When and Where to Applied Predictive Analysis?
1.2.3
Who Involved in Predictive Analysis
1.2.4
How to Implement Predictive Analysis?
1.3
References
2
Regression Models
2.1
Definition of Regression Models
2.2
Regression Models and Types
2.2.1
Linear Regression Models
2.2.2
Example: Simulate Dataset
2.2.3
Non-Linear Regression
2.2.4
Example: Simulated Dataset
2.2.5
Generalized Regeression Models
2.2.6
Example: Logistic Regression Model
2.3
References
3
Case Study I: Comparing 2 Types Logistics Regression
3.1
Multinomial Logistic
3.1.1
Definition of Multinomial Logistic
3.2
Case Study
3.2.1
Data Preparation
4
Case Study ii: Comparing 2 Types Logistics Regression
4.1
Multinomial Logistic
4.1.1
Definition of Multinomial Logistic
Analysis and Predictive Modelling
4
Case Study ii: Comparing 2 Types Logistics Regression
4.1
Multinomial Logistic
4.1.1
Definition of Multinomial Logistic