Felipe Lamarca's Projects
Aggregator for the final reports on Statistical Modelling (FGV EMAp 2023/2)
Simple code that implements a way of sending e-mails through Python using SMTP
I use the Financial Distress dataset from Kaggle to explore bankruptcy prediction using machine learning.
Blogging and content publishing system developed for the Software Engineering discipline (FGV EMAp)
Exploratory analysis of Southeast and Northeast (Brazil) municipal elections from 2020.
Estudo sobre Conformal Prediction com objetivo de avaliar o método em relação a abordagens clássicas no escopo de Machine Learning
Repository where I keep all the assignments and projects developed in the scope of the Data Visualization discipline, lectured by Professor Jorge Poco (@jpocom) (FGV EMAp).
Modeling a database using MySQL
Implementation of search, sorting & selection algorithms to build an efficient datagrid. Project developed within the scope of the Algorithm Design and Analysis discipline, lectured by Professor Thiago Pinheiro de Araújo (FGV EMAp).
Assignments and presentation developed in the scope of the Deep Learning discipline, lectured by Professor Dário Oliveira (FGV EMAp). Co-authored with @anacarolerthal.
My GitHub profile page
Visualização de dados de competições de Fórmula 1 em D3.js.
Jekyll-based static site for The Programming Historian
Linear Algebra project that assembles a jpeg image compressor in order to further study matrices and linear combination. Authors Guilherme Melo and Felipe Lamarca.
Repository where I keep all the assignments and the project developed in the scope of the Machine Learning discipline, lectured by Professor Diego Mesquita (FGV EMAp).
Implementation of Machine Learning Algorithms from scratch for the discipline Techniques and Algorithms in Data Science (FGV EMAp), taught by Professor Alberto Paccanaro.
Resources for Statistical Modelling ("Modelagem Estatística").
Eleboração de visualização em D3.js para a disciplina de Visualização de Dados FGV EMAp
Scilab implementations of numerical methods for solving problems related to Linear Algebra. Discipline taught by Professor Antônio Carlos Saraiva Branco (FGV EMAp).
My personal repository of the discipline Observatory of Elections, lectured by Professor Jaqueline Porto Zulini (@jaquepz) (FGV CPDOC).
A work-in-progress site for submitting and reviewing new Programming Historian lessons
Reccomendation algorithm for podcast episodes.
Exploratory analysis of the dataset Police Violence & Racial Equity - Part 2 of 3 using Python.
Development of a website using Python, HTML and CSS. Repository for the Programming Languages discipline (FGV EMAp).
Development of a game using Pygame
Projeto para aplicar técnicas de Modelagem Estatística. Case: dinâmica do voto em deputados federais nas eleições de 2022. Disciplina lecionada pelo Professor Luiz Max (@maxbiostat) (FGV EMAp).
Repository to keep the assignments of the Time Series discipline, FGV EMAp.
Lições do The Programming Historian traduzidas para a Língua Portuguesa.