Gradient Boosting is a technique to add weaker algorithms together using a procedure similar to gradient descent, in order to minimize the loss function and make them into a stronger algorithm. New ...
In the world of machine learning, XGBoost has emerged as a powerful tool for tackling complex tasks. Its ability to handle various data types, its inherent interpretability, and its remarkable ...
In today's world, data is everywhere, and Machine Learning (ML) has become an essential tool to make sense of it. One of the most popular and powerful ML algorithms is XGBoost, short for eXtreme ...
In this project was used dataset concering data about sales in stores of some company. The dataset was ceated by merging two datasets. Input dataset contains 1 017 209 observations as well as 18 ...
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