Boosting in machine learning is a technique that combines multiple simple models, often decision trees into a single, stronger model. It works with regression trees and improves performance by sequentially learning from the mistakes of previous models. According to the scikit-learn documentation, at each stage, a regression tree is fit on the negative gradient of […]
Python For Loop
Loops are used to repeat a block of code multiple times. “for” loop in python is used when the number of repetition is known. “while” loop is used when the number of repetition is not known in advance, or can be infinite but there have to be a condition for stopping or exiting out the […]
Random Forest Regressor
Random forest regressor is a variant of the random forest classifier. It is primarily used for classification tasks. This model is an ensemble of decision trees. It combines the predictions of multiple individual trees to imrpove performance. By aggregating the results from those trees, typically through votng or avaeraging. It produces a final prediction that […]