airtontiago

applied_ml_with_python_specialization

This repository was created in order to upload files and exercises of Applied Machine Learning With Python - Specialization by University of Michigan (Coursera)

awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

chicago_bikeshare_en

In this project, I have used Python to explore data related to bike share systems for Chicago. I wrote a code to import the data and answer interesting questions about it by computing descriptive statistics. I also created some important functions and plot charts. This project was created by Udacity in their course of Machine Learning & AI foundations.

crawler_covid19_wikipedia

In this project I created a python script using beautifulsoup and urllib for obtain information of the COVID-19 pages for USA and Brazil in order to create a graph.

cutmix-pytorch

Official Pytorch implementation of CutMix regularizer

exercism

In this folder I will focus on posting solutions for the exercism tracks! Feel free to use it if needed :)

images_classifier

This repository will go throught the process of image classification

machine_learning_stanford

Material and assignments of Machine Learning course from Stanford (Coursera).

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

predicting_boston_house_prices

The Boston housing market is highly competitive, and you want to be the best real estate agent in the area. To compete with your peers, you decide to leverage a few basic machine learning concepts to assist you and a client with finding the best selling price for their home. Luckily, you’ve come across the Boston Housing dataset which contains aggregated data on various features for houses in Greater Boston communities, including the median value of homes for each of those areas. Your task is to build an optimal model based on a statistical analysis with the tools available. This model will then be used to estimate the best selling price for your clients' homes

progfun-wiki

sql_ucdavis_specialization

In this repository I will go through the assignments and material from ''Learn SQL Basics for Data Science" specialization from UC Davis.

text_minning

In this work I will go through text analysing using LSTM and other models

tidytuesday

My contributions to the #TidyTuesday challenge, a weekly data visualization challenge. All plots are 💯 created in R with ggplot2.

unimodal-ordinal-regression

Two methods proposed for ordinal regression that take advantage of unimodal distributions.