This project builds a time series model that forecasts a 3-year industrial production of electic and gas utilities in US.

'XTARIMAU': module to find the best [S]ARIMA[X] models in heterogeneous panels with the help of arimaauto

In the following R code I used packages like "MTS", "urca", "fUnitRoots" to conduct ADF test and Phillips Perron Test on 4-mariate financial data.

Used time series model to forecast

Machine Learning in Scikit-Learn and TensorFlow

This repo is about forecasting the Yen movements in order to know whether to be long or short.

Predict the apple stock market price for next 30 days. There are Open, High, Low and Close price has been given for each day starting from 2012 to 2019 for Apple stock.

Time Series Analysis and Forecast on Electricity Production using ARIMA and FB Prophet.

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.

Modelo de machine learning con series temporales que predice la cantidad de taxis para la próxima hora.

One of the most important tasks for any retail store company is to analyze the performance of its stores. The main challenge faced by any retail store is predicting in advance the sales and inventory required at each store to avoid overstocking and under-stocking. This helps the business to provide the best customer experience and avoid getting …

Demonstrações de séries temporais com Estacionaridade no Python com valores aleatórios e dados reais.

package for modelling Time Series Processes as locally stationary processes

Analysis of Skewness and Kurtosis in Stock Return data and their Transformations

Retail sales forecasting (time series) with Autoregression model in Python

Matlab functions to test the stationarity of a random process

Прогнозирование спроса на такси

Common vulnerabilities and exposure.

Performed Exploratory Data Analysis and Time-Series Forecasting on historical stock market data.

Automating time series stationarity tests