All Regression models explained
All Regression models explained in supervised learning
When studying machine learning, you may encounter many different types of models and algorithms, and there is a popular branch in supervised learning that is regression models.
Supervised learning has 2 types of models: classification and regression. Well, in this article, we will get to know about the most popular regression models there are out there.
What is the Regression algorithm
The regression algorithm is a part of Supervised Learning. And it uses statistical method to model the relationship. Regression models are continuous and they built a correlation with the dataset and the model try to use a mathematical function for eg it can use either a straight line or a curve to fit the dataset and the output in these types of model can be a number as you can see in the image below.
Types of Regression Algorithms
I’ve written articles on each of the models listed below, explaining them with examples, so you may read them.
- Linear Regression
- Polynomial Regression
- Decision Tree Regression
- Random Forest Regression
- Support Vector Regression
Well, if you like this article you can check out my articles for more interesting articles in the field of artificial intelligence and machine learning.
Conclusion
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