Foreign-Exchnage-rates-from-USD-to-Indian-Rupees-over-2000-2020-using-Time-series-in-R

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Real time eye tracking for embedded and mobile devices.

Timeseries for everyone

基于ARIMA时间序列的销量预测模型，实际预测准确率达90%以上，内含有测试记录和实际上线效果。

Time Series Classification

Photovoltaic power prediction based on weather data for my bachelor thesis

Source code for predicting Blood Glucose Concentration

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.

My Solution to the Assignment Task based on Telecom Italia's Big Data Challenge

ARIMA model from scratch using numpy and pandas.