Project Overview: This project explores Adaptive Boosting (AdaBoost), an ensemble machine learning algorithm that sequentially improves weak classifiers to form a strong classifier. The report ...

Transfer learning, serving as one of the most important research directions in machine learning, has been studied in various fields in recent years. In this paper, we integrate the theory of ...

Here I use three different Machine Learning Classifiers to try classifying the wine dataset, see my report in the readme file The dataset that I used was the Wine Quality Dataset which included a ...

Credit card fraud detection is a critical problem for any credit card issuing banks. The AdaBoost classifier is used in this study to identify fraudulent transactions. By comparing the proposed ...

Keywords: rainfall prediction, machine learning, multi-view learning, stacking learning, multivariate time series, Morocco, North Africa. Citation: El Hafyani M, El Himdi K and El Adlouni SE (2024) ...