autocorrelation-function
There are 21 repositories under autocorrelation-function topic.
RezaSaadatyar/Time-Series-Analysis-in-Python
This repository contains Python functions for predicting time series.
MolSimGroup/velocity
velocity.py reads in GROMACS trr trajectory (that inclides velocity information) and calculates center of mass translational velocity and angular velocity. It also computes translational and rotational kinetic energies, temperatures, velocity autocorrelation functions and power spectra
shanuhalli/Assignment-Forecasting
Forecast the Airlines Passengers and CocaCola Prices data set. Prepare a document for model explaining. How many dummy variables you have created and RMSE value for model. Finally which model you will use for Forecasting.
ZubayerOjhor/Road-Traffic-Fatalities-Prediction-Model-through-Time-Series-Analysis
Prediction of road casualties and evaluate the impact of transformations in Time Series Modeling and Forecasting with ARIMA using the R programming language
Ahmed-Elghareb/Gender-with-Activity-Recognition
A research project that addresses the recognition of activities and the gender of the performer using MoVi and MotionSense datasets
Anjali-DA/Data-Analyticts-Python
Exploratory data analysis using python frameworks🎯| Time Series analysis⌚| Regression Analysis🧬
devosmitachatterjee2018/Financial_Time_Series
The project involves the analysis and forecasting of time series on financial data.
imane-ayouni/City-and-Resort-Hotels-Bookings-Forecast
Time Series Forecasting: City and Resort Hotels Bookings forecasting
itssiumbel/Nonstationary-time-series
Research case
leosdo/DFXM-superstructure
Compilation of main codes used in the paper "Heterogeneous antiferroelectric ordering in NaNbO3-SrSnO3 ceramics revealed by direct superstructure imaging"
psu-inversion/co2_flux_error_correlation_analysis
Codes for calculation of temporal correlations in model-data differences, creating and fitting mathematical models, and cross-validating the fits.
saikrishnabudi/Forecasting
Data Science - Forecasting
secil-carver/Time-Series-Analysis
Analyze trends and forecast daily revenues.
apkuznetsov/random-processes-2018
Моделирование реализаций случайного процесса, статистические оценки математического ожидания и дисперсии случайного процесса, статистическая оценка автокорреляционной функции случайного процесса, однородная цепь Маркова, предельные вероятности состояний цепи Маркова, распределение вероятностей состояний цепи Маркова
imane-ayouni/Time-Series-Forecast-Medium-Daily-Posts-Forecast
Time Series Forecasting Methods to forecast Daily Post Publications on Medium
JuanIMartinezB/Time-Series-ARIMA-ARMA-MA-AR
Forecasting of Colombian crude oil production using several modeling techniques on this time series
luizamfsantos/CPI-BER-Time-Series-Analysis
Explored a decade of CPI and BER data using Python and Jupyter notebooks for in-depth time series analysis, forecasting, and error evaluation. Techniques include data cleaning, exploratory analysis, and specialized time series modeling.
Realife-Brahmin/eld895_analysis_real_grids
MATLAB Analysis on Frequency Data of Real World Power Grids
Realife-Brahmin/eld895_analysis_simulated_grids
MATLAB codes for analyzing grid simulations for symptoms of Critical Slowing Down.
SayamAlt/Time-Series-Analysis-Forecasting
This repository covers essential techniques for time series analysis and forecasting. It covers data manipulation and visualization using Numpy and Pandas, time series analysis with Statsmodels, ARIMA models, deep learning methods like RNNs, LSTM, GRU, etc. and Facebook's Prophet library.