Random Forest
Explore how the Random Forest algorithm enhances decision trees using bootstrap sampling and bagging techniques. Understand how multiple trees work independently to reduce variance and improve prediction accuracy in both classification and regression problems.
We'll cover the following...
We'll cover the following...
Bootstrap
Bootstrap is a statistical technique that is used to estimate a measure from the data. For example, consider that we have to calculate the mean of a large sample of data. We can estimate the mean by:
- Collecting small subsamples of the data.
- Calculating mean of each subsample.