This project contains the analyses of a generic time series. Furthermore we analysed the main methods for forecasting time series.

Evaluation Practices done for the Time Series Forecasting subject

Time Series Analysis and Forecasting

Masters Project: Forecasting Unemployment

Minimal Tensorflow time series forecasting

Making a one step ahead forecast of the growth rate of the Ann Arbor, MI housing prices.

Sequence Models

Dow Jones Index Forecasting

A summary of using the spatio-temporal regression approach for small-area population forecasting.

Electricity daily price forecasting done with linear models (ARIMA and UCM) and non-linear models ( kNN, LSTM and GRU).

The project forecasts the hourly temperature at JFK airport. The dry-bulb temperature is a key indicator of air temperature that has implications for many domains, such as aviation and energy. The project involves data analysis, modeling, and validation to develop reliable forecasting model that can assist stakeholders in making informed decisions

Self-learning project

Forecasting System for Continual Learning Scenarios based on Hoeffding Trees With Change Point Detection Mechanism

Previsao de vendas com python e o framework statsmodels

A python software that uses a free API to analyze the weather of a user's input for a desired city.

This repository has been created to link my Capstone Projects for Thinkful as I navigate thru the Data Analytics Immersion program from October 2020 - January 2021.