r_project_time_series

Projeto dedicado para a disciplina de Séries Temporais (Mestrado) do Departamento de Estatística da UFPE

seedz

template_portfolio

Template para portfólio de Data Science

time-series-with-python

Time series data is one of the most common data types and understanding how to work with it is a critical data science skill if you want to make predictions and report on trends. In this track, you'll learn how to manipulate time series data using pandas, work with statistical libraries including NumPy and statsmodels to analyze data, and develop your visualization skills using Matplotlib, SciPy, and seaborn. You'll then apply your time series skills using real-world data, including financial stock data, UFO sightings, CO2 levels in Maui, monthly candy production in the US, and heartbeat sounds. By the end of this track, you'll know how to forecast the future using ARIMA class models and generate predictions and insights using machine learning models.

ufc_project

Project for UFC fights prediciton

wavelets

Trabalho de conclusão de mestrado para disciplina de Séries Temporais do departamento de estatística da UFPE.