autoregression

NeuralProphet: A simple forecasting package

Official repository for the paper "Chunked Autoregressive GAN for Conditional Waveform Synthesis"

The official implementation for ICMI 2020 Best Paper Award "Gesticulator: A framework for semantically-aware speech-driven gesture generation"

A python multi-variate time series prediction library working with sklearn

I perform time series analysis of data from scratch. I also implement The Autoregressive (AR) Model, The Moving Average (MA) Model, The Autoregressive Moving Average (ARMA) Model, The Autoregressive Integrated Moving Average (ARIMA) Model, The ARCH Model, The GARCH model, Auto ARIMA, forecasting and exploring a business case.

ARIMA model from scratch using numpy and pandas.

Learning Data Science

Time Series Analysis Concepts Explained with examples

This is the official implementation of the paper "Generating Emotive Gaits for Virtual Agents Using Affect-Based Autoregression".

Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet

This is a final project for a Time Series course. My professor told me I could further work on it.

Delay Embedded Regressive Reduced Order Model

Matlab Machine Learning application for predicting Arsenal F.C. football results during 2013-2014 season using self-programmed multi-class (1-against-rest approach) Naive Bayes and an implementation of AutoRegression.

Time-series forecasting models

documenting my bachelor thesis

This is small end-to-end project which uses AutoReg ML Model to predict the future stock closing price. The web app built using Streamlit and data from yfinance library.

Forecast for 3 methods of US emissions of CO2 to the atmosphere

🏅 2019 한국통계학회 춘계학술논문대회 프로젝트

Snippets and Utils for Machine and Deep Learning

R Shiny application for measuring the effect of foods on gastrointestinal symptoms. Public on shinyapps.io