Predictive Modeling Techniques - A Gist
Predictive modeling is a process of using statistical and machine learning algorithms to analyze historical data and make predictions about future events or outcomes. It is widely used across various industries, including finance, healthcare, marketing, and more. There are several Predictive modeling techniques , each with its strengths and weaknesses. Linear Regression : Linear regression is a simple and commonly used technique for predictive modeling. It works by finding the best linear relationship between the independent variables (also known as features or predictors) and the dependent variable (the target variable or outcome). The model assumes a linear relationship between the variables and uses this to predict the outcome of new data. Logistic Regression: Logistic regression is similar to linear regression, but is used for binary classification problems, where the target variable can only take two values (e.g. yes/no, true/false). The mo...