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.

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

Time Series Analysis Concepts Explained with examples

Implement gradient descent in linear regression problems, construct and evaluate simple linear models, and use feature engineering to create more complex supervised machine learning models.

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.

🏅 2019 한국통계학회 춘계학술논문대회 프로젝트

COVID-19 Spread Prediction in Pakistan

Novelty Detection

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

Time-series forecasting models

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

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

ARIMA model from scratch using numpy and pandas.

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

Prediction of future global land temperature based on accuracy of different models and evaluating which model performs better

Snippets and Utils for Machine and Deep Learning

Air Quality in Nairobi (Based on PM2.5 index)- A Time Series Analysis Projects - Building ARIMA ML Model. In this project, I work with data from one of Africa’s largest open data platforms openAfrica https://africaopendata.org/ .I’ll look at air quality data from Nairobi, Lagos, and Dar es Salaam; and build a time seriesmodel to predict PM 2.5 r…

documenting my bachelor thesis

Prediction of the temperature in Berlin Tempelhof for the next couple of days. The model predicted 19.3° C for the first unknown day with the actual temperature being 19.8 °C.