Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, coding process, and practical examples to help you understand how KNN works ...
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers
Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...
ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
Abstract: Air pollution detection in smart cities relies on accurate data analysis and prediction for effective management. Proposed method has multiple datasets week-wise which are combined to get ...
Recently, many machine learning techniques have been presented to detect brain lesions or determine brain lesion types using microwave data. However, there are limited studies analyzing the location ...
The UAV-Captured Hay Bale Dataset can serve as a valuable resource in a variety of fields, including but not limited to: ├── README.md ├── BaleUAVision ├── Annotated ├── Hay bales 1 ├── ...
In this tutorial, we demonstrate how to efficiently fine-tune the Llama-2 7B Chat model for Python code generation using advanced techniques such as QLoRA, gradient checkpointing, and supervised ...
Abstract: The purpose of this research is to create and evaluate a clever K Nearest Neighbor-based systematic prediction system against the Decision Tree Classifier method for early flood detection in ...
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