Repository for predicitons of timeseries data with NN.
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Updated
Sep 8, 2020 - Python
Repository for predicitons of timeseries data with NN.
Forecasting the energy consumption of Ecole Polytechnique's start-up incubator building.
Demonstration of time series analysis using various concepts and models.
This is a price uni and multivariate forecasting of collectible assets indices using ARIMA models
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
In this project I present the US weekly retail sales forecast from the USDA's Economic Research Service (ERS) report.
Superstore Time Series Data Analysis and its prediction for next 4 years using ARIMA model.
A Simple Python Implementation of an API that provides services like Classification,Regression and Forecasting on the input data set
Monitoring established in-land human activities using pollution satellite data. Copernicus Sentinel-5P (TROPOMI) is the satellite data imagery source for remote pollution sensing on which the entire project is based. The image processing phase has taken a significant amount of effort since it was crucial to extract useful and correct information…
Pharmalytics is a sales prediction application for Firstmed Pharmacy using the SARIMA model and Streamlit.
Beer national sales forecasting
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