Table of Contents
- Introduction
- Installation of the LazyPredict Module
- Implementing LazyPredict in a Classification Model
- Implementing LazyPredict in a Regression Model
- Conclusion
Introduction
The development of machine learning models is being revolutionized by the state-of-the-art Python package known as LazyPredict. By using LazyPredict, we can quickly create a variety of fundamental models with little to no code, freeing up our time to choose the model that would work best with our data.
Model selection may be made easier using the library without requiring considerable parameter adjustment, which is one of its main benefits. LazyPredict offers a quick and effective way to find and fit the best models to our data.