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Adagrad algorithm explained and implemented from scratch in Python

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Why presidents stumble in this most ...
GitHub

A naive Python tool to remove your name from PDF annotations

Then run remove_name_from_annotations_gui.py. If you have no idea how to set up a Python virtual env, no worries! I recommend installing Thonny IDE that gives you an isolated Python env out of the box ...
IEEE

FPGA-Based Accelerator Implementation for Naive String Matching Algorithm

Abstract: String matching is time-consuming in data search applications, especially with extensive data and many users. This paper demonstrates the performance of hardware acceleration by showcasing ...
GitHub

[FEATURE] Diabetes Prediction using Naive Bayes (ML)

This feature implements a Diabetes Prediction system using the Naive Bayes algorithm in machine learning. The system will take various health metrics as input (such as glucose level, blood pressure, ...
IEEE

Comparison of Novel Random Forest Algorithm over Gaussian Naïve Bayes for Improving Accuracy in Software Bug Prediction System

Abstract: Aim: This research work focuses on analyzing the performance of a proposed random forest method with that of Gaussian Naive Bayes in predicting software problems. Materials and Methods: The ...
Scientific Research Publishing

DDoS Attack Detection Using Heuristics Clustering Algorithm and Naïve Bayes Classification ()

In recent times among the multitude of attacks present in network system, DDoS attacks have emerged to be the attacks with the most devastating effects. The main objective of this paper is to propose ...