What are some common predictive modeling techniques?

What are some common predictive modeling techniques?

Common predictive modeling techniques include linear regression, decision trees, random forests, and neural networks.

Can you explain how linear regression works?

Linear regression models the relationship between a dependent variable and one or more independent variables using a linear equation.

What are the advantages of using decision trees?

Decision trees are easy to interpret, handle both numerical and categorical data, and require little data preprocessing.

How do I choose the right technique for my data?

Choosing the right technique depends on the data type, the problem you're solving, and the desired accuracy.