Linear Regression, Logistic Regression, Supervised Learning, Regression, Machine Learning.
either continuous or categorical, but the dependent variable must be continuous. Once you have your dataset, you can fit the linear regression model by using an optimization algorithm to minimize the sum of the squared errors between the predicted values and the actual values. Logistic Regression: