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agenda

Projeto de uma Agenda com Django. Este projeto faz parte de um curso de Python, nível intermediário.

apachesystemml

The purpose of this repository is to process data , prepare it, and build models to predict certain activities using ML techniques. The entire process leverages PySpark for distributed data processing . The codes were developed according to Advanced Machine Learning and Signal Processing and Applied Ai with deeplearning courses from IBM.

bayesianinference

The model predicts the treatment success rate for new TB cases with high accuracy and robustness. Two different approaches: PCA and Bayesian Inference. The Bayesian regression analysis reveals that c_new_sp_tsr and new_sp_fail are significant predictors of the treatment success rate, while other predictors show less certainty in their effects.

bb84-protocol

Simulation of the BB84 Protocol

cadastro-de-curriculos

Sistema Web para cadastros de currículos online. Criado utilizando PHP em arquitetura MVC.

co2emissions

Cleaning data using decision tree and k-nn techniques

container-template

Containers Template

creditcardfraud

Credit Card Fraud detection with neural networks(anomaly detection) and machine learning techniques (random forest classifier)

databasemanagement

Testing Advanced SQL queries and integrating classical databases in quantum processors (hybrid algorithm)

databricks

dataengineering

Data Engineering - ONS and Eneva. Eneva (ENEV3:BZ), listed in the new market segment of the B3 (Brazilian Stock Exchange), is one of Brazil's leading integrated energy companies.

datavisualization

Data Visualization

deeplearning

Deep Learning concepts and techniques: Regularization, Epochs, Batch,Hyperparameters, Cross validation, Optimizers

energy

Cleaning data using data analysis and exploratory analysis techniques

errorcorrection

In this project, I explore the expedient and stringent protocols, both quantum error correction protocols designed to protect quantum data from errors.

fastapi

financial-analysis

Visualizing, Munging and Predicting Stock Prices using machine learning models in R and Python. Course Python statistics - financial analysis. I developed and evaluated two different models, LSTM and Random Forest to predict the stock prices of Apple Inc. based on historical data.

financialmarket

Personal notes - Financial Market Course from Yale University

financialriskmanagement

Financial Risk Management with R, Duke University

hpc-project

Course: Introduction to scientific computation - Final project HPC- Creation of container and parallel job using OpenMP and MPI

ida-historical-data

Using IDA historical data to predict the country which has a probability greater than 0.1 of being in debt with IDA.

introducao-ao-django

Introdução Django

isadays

latexpresentation

Lecture presented in the course Inglês em Contexto Acadêmico

livre

É uma plataforma de compra, venda e troca de livros usados. Os usuarios da plataforma podem disponibilizar seus livros com opção de compra ou troca e os interessados podem solicitar o livro. Apos demonstrar interesse no item, eles podem trocar mensagens para combinar como sera feita a troca ou compra do livro.

machinelearning-assignment

Assignment 3 - Course Applied Machine Learning

multidimensionaldata

Multidimensional Expressions. MDX is used specifically for querying multidimensional data structures. MDX queries result in multidimensional data structures (cubes or cellsets).

non-markoviandynamics

Qutip Monte Carlo to solve the dynamics of time-local non-Markovian master equations

objectdetection

predictivemodel

Predicting Apple Inc. Stock Prices Using Machine Learning Models. Please check ADD.pdf file