When the coronavirus disease (COVID-19) became a pandemic affecting all countries worldwide,
Predictive Modeling
What is Predictive Modeling?
Predictive Data Modeling
Analytics professionals frequently feed predictive models with data from the following sources:
Parameter
Parametric Models
Non-Parametric Models
Table 4.1: Comparision of parametric and non-parametric models
Predictive Modeling Categories
Table 4.2: Comparison between Classification and Regression
Classification vs Regression example. In classification, the dotted line represents a linear boundary that separates the two classes, while in regression, the dotted line models the linear re
Regression
Classification
Predictive Modeling Tasks
Predictive Modeling Methods
More advanced Predictive Modeling methods are used in more complex problems.
Time Series
Outlier Detection
A clustering example with four clusters based on two characteristics, income and spending score
Clustering
Forecasting
Data Transformation
The workflow of the predictive modeling process
Inferences or Conclusions
Formulation of the Predictive Model
Data Collection and Cleaning
The Predictive Modeling Process
To create and train a model:
Practical Classification Example
Once the training process is finished, you can test the model by giving it an image from the test dataset, either from the Positive class or the Negative class and evaluate the output.
Teachable Machine
As you can see, the model correctly classified the image in the Positive class with 100% certainty,
To test and evaluate a model:
Predictive Modeling tools
Benefits and Limitations of Predictive Modeling
Table 4.3: Applications of Predictive Modeling
