Repo Fundamentos de Projeto e Análise de Algoritmos
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Updated
Oct 3, 2025 - Python
Repo Fundamentos de Projeto e Análise de Algoritmos
Model trained for educational purposes only; usage subject to terms and conditions.
Developed predictive models like ARIMA and logistic regression to analyze market trends and forecast movements. Employed statistical techniques like moving averages for trend insights and binary outcome predictions in financial analysis.
Scripts for the analysis of interface-perpendicular diffusion in confined film or slit-pore geometries
A digital factory twin simulation powered by MPI, enabling high-performance & scalable virtual replicas of physical systems.
Spotify playlist research tool and blog!
This repo is created in order to keep track of the exercises and projects that my teammates and I do for the Programming III course at the university during our second year of Software Engineering.
Aims to develop a proof on concept program on tracking fraudulent Ethereum transactions using Python and blockchain concepts for a potential future course offered by University of Massachusetts Lowell.
pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.
It includes source codes in python to analyse and determine various problems in mathematical computing of data.
Robot that analyzes the games that will take place on the current date and shows possible games for bets above 0.5 goals.
Lightweight Python CLI utility which makes use URLScan.io APIs to automate scanning and retrieving information about URLs
[Replaced by Saddlebag exchange] Marketboard economic analyser for Final Fantasy XIV.
An interactive chatbot designed to help users perform Exploratory Data Analysis (EDA), generate statistical insights, create visualizations, and even build basic machine learning models—all through natural language prompts. The chatbot is powered by Gemini 1.5 Flash (Google’s LLM) and built with the Python data ecosystem and Streamlit.
A tool for predicting the prices of popular cryptocurrencies for the next 30 days using an LSTM neural network. The project allows you to select from 10 popular cryptocurrencies and visualize future prices based on the last 2 years of data.
Measure execution time for each line of code
Simple co-occurrence analysis matrix generation tool with GUI.
ganesh kavhar python tutorials..
Algorithm studies.
This project provides a service for executing algorithms and analyzing key performance metrics such as runtime, memory usage, node and edge counts, as well as cycle detection.
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