EPFL-Time-Series

Real time eye tracking for embedded and mobile devices.

Timeseries for everyone

Time Series Classification

Photovoltaic power prediction based on weather data for my bachelor thesis

Time Series forecasting using Seasonal ARIMA & Prophet. Applied statistical tests like Augmented Dickey–Fuller test to check stationary of series. Checked ACF ,PACF plots to identify Moving average and Auto-regressive order of series. Transformed series to make it stationary.

remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets.

ARIMA model from scratch using numpy and pandas.

Hidden Markov Models in stock price forecasting.

This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in the city based on correlations of various demographics correlation in each locality.

A time-series companion package to healthyR