Fitting a Linear Regression Model
Machine Learning · Further Education · Supervised Learning
This unit introduces the concept of fitting a linear regression model. Students will learn how to find the values of m and b that minimize the sum of the squared errors between the predicted values and the actual values.
Zum Üben gibt es 52 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to linear regression
- Fitting a linear regression model
- The least squares method
- Interpreting the results of a linear regression model
- Assumptions of linear regression
- Limitations of linear regression
Stichworte
- Linear Regression
- Fitting a Linear Regression Model
- Supervised Learning
- Machine Learning
- Least Squares
- Error Minimization
- Model Interpretation