hackerman70000

CPU-power-analisys-XGBoost

Measuring CPU power consumption to determine the encryption execution time. The aim is to understand the duration of processor activity during encryption tasks using XGBoost.

Expense-splitter-app

Java application for splitting expenses between multiple people. Please note that I only worked on the frontend part of the project.

Heart-disease-prediction

Analysis and prediction of heart disease using various machine learning models [XGBoost, SVM, KNN, LR].

Lotka-Volterra-model

This project explores Lotka-Volterra equations, fundamental for ecosystem dynamics, via Python code and visualizations, revealing predator-prey interactions' impact on populations.

Malicious-traffic-detection

An advanced solution for network traffic analysis, DDoS mitigation, and malicious behavior detection, leveraging NFStream, XGBoost, and integrated threat intelligence.

Prophet-IA-NN

Prophet is a neural network-based system designed to predict stock market trends. It leverages historical data, technical analysis, and machine learning to forecast price movements and assist in investment decisions.

RISC-V_SoC

System on Chip SoC based on the RISC-V architecture with custom peripherals for finding the n-th prime number. The development process includes emulation through QEMU, building a custom Linux distribution with Buildroot, and developing Linux kernel modules for hardware interaction.

To-Do-App

A modern, feature-rich task management application built with React. Organize your daily tasks, set priorities, track due dates, and manage recurring responsibilities with an intuitive user interface. For now it is frontend only.

Wine-origin-prediction

Analysis and prediction of wine origin using various machine learning models [XGBoost, SVM, KNN, LR].

scht-lab

hackerman70000/CPU-power-analisys-XGBoost

Measuring CPU power consumption to determine the encryption execution time. The aim is to understand the duration of processor activity during encryption tasks using XGBoost.

hackerman70000/Expense-splitter-app

Java application for splitting expenses between multiple people. Please note that I only worked on the frontend part of the project.

hackerman70000/Heart-disease-prediction

Analysis and prediction of heart disease using various machine learning models [XGBoost, SVM, KNN, LR].

hackerman70000/Lotka-Volterra-model

This project explores Lotka-Volterra equations, fundamental for ecosystem dynamics, via Python code and visualizations, revealing predator-prey interactions' impact on populations.

hackerman70000/Neural-Networks-and-Deep-Learning

Code samples from Michael Nielsen's book "Neural Networks and Deep Learning" rewritten to Python 3.

hackerman70000/Prophet-IA-NN

Prophet is a neural network-based system designed to predict stock market trends. It leverages historical data, technical analysis, and machine learning to forecast price movements and assist in investment decisions.

hackerman70000/RISC-V_SoC

System on Chip SoC based on the RISC-V architecture with custom peripherals for finding the n-th prime number. The development process includes emulation through QEMU, building a custom Linux distribution with Buildroot, and developing Linux kernel modules for hardware interaction.

hackerman70000/Wine-origin-prediction

Analysis and prediction of wine origin using various machine learning models [XGBoost, SVM, KNN, LR].