What are the best algorithms for supervised learning?

What are the best algorithms for supervised learning?

Some of the best algorithms for supervised learning include Linear Regression, Decision Trees, Random Forests, and Support Vector Machines.

Can you explain how Random Forests work?

Random Forests work by creating multiple decision trees during training and outputting the mode of their predictions for classification or the mean prediction for regression.

What are the advantages of using Support Vector Machines?

Support Vector Machines are effective in high-dimensional spaces, robust against overfitting, and can handle non-linear boundaries using kernel tricks.

How do I choose the right algorithm for my dataset?

Choosing the right algorithm depends on the size of your dataset, the nature of the data, and the specific problem you're trying to solve.