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Data Analysis ยท Level 5
5.1 Modeling with Multiple Variables
Combine information from multiple sources to make the best house price predictions.
Use Multiple Variables
Understand Coefficients
Optimize Coefficients
Assess the Model
Choose Variables
Avoid Overfitting
Interpret the Model
Use Categorical Variables
Explore Interactions
Transform Variables
Course description
Use Multiple Linear Regression to build predictive models and isolate the most influential variables by analyzing Mean Square Error (MSE).
Topics covered
- Mathematical models
- Interpreting coefficients
- Selecting variables
- Independence and dependence of variables
- Overfitting
- Categorical variables
- Non-linear variables
- Interaction terms
Prerequisites and next steps
You should be comfortable with simple linear regression. Familiarity with Mean Squared Error and R-squared values is beneficial.