Pinned Repositories
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.
Neural-Networks-and-Deep-Learning
Code samples from Michael Nielsen's book "Neural Networks and Deep Learning" rewritten to Python 3.
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.
Wine-origin-prediction
Analysis and prediction of wine origin using various machine learning models [XGBoost, SVM, KNN, LR].
bso
scht-lab
hackerman70000's Repositories
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].