GitHub topics: exponential-smoothing

Repositories

husskhosravi/ML-timeseries-forecasting

Electricity consumption forecasting using multiple Time Series models: Linear Regression, Facebook Prophet, ARIMAX and Exponential Smoothing

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

config-i1/smooth

The set of functions used for time series analysis and in forecasting.

Language: R - Size: 10.2 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 90 - Forks: 21

Nixtla/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

Language: Python - Size: 222 MB - Last synced at: 8 days ago - Pushed at: 21 days ago - Stars: 4,232 - Forks: 305

RenatoMaynard/Time-series-forecasting-methods

Time Series Forecasting Methods — A collection of Python implementations for essential time series forecasting techniques, including Simple, Double, Triple Exponential Smoothing, and Moving Averages.

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 16 - Forks: 0

FilippoMB/python-time-series-handbook

Book and material for the course "Time series analysis with Python" (STA-2003)

Language: Jupyter Notebook - Size: 340 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 134 - Forks: 26

shahgem/CIND-820

Predicting Cryptocurrency Prices with Machine Learning - Time Series Forecasting

Language: Jupyter Notebook - Size: 59.1 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3 - Forks: 1

salesforce/ETSformer

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

Language: Python - Size: 459 KB - Last synced at: 14 days ago - Pushed at: 12 months ago - Stars: 274 - Forks: 44

LAMPSPUC/StateSpaceModels.jl

StateSpaceModels.jl is a Julia package for time-series analysis using state-space models.

Language: Julia - Size: 10.5 MB - Last synced at: 13 days ago - Pushed at: about 1 month ago - Stars: 274 - Forks: 26

kunanonsurasorn/The_Korean_Fashion_Online_Shopping_Forecasts

โปรเจคนี้จัดทำขึ้นเพื่อพยากรณ์ปริมาณการซื้อสินค้าประเภทเสื้อผ้า รองเท้า และ เครื่องแต่งกายอื่นๆในประเทศเกาหลีใต้

Language: Jupyter Notebook - Size: 975 KB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

GabrielMazzotta/Time-Series-Analysis-and-Forecasting_Case-Study

This project focuses on Time Series Analysis techniques, uncovering patterns and leveraging forecasting models to predict future sales trends.

Language: Jupyter Notebook - Size: 1.15 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

akomarla/ExpSmoothing

A simple introduction to statistical learning for time-series forecasting using the Holt Simple Exponential Smoothing method

Language: Python - Size: 92.8 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MoinDalvs/Time_Series_Forecasting_From_Scratch

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 4

vaibhav-sing-bisht/Time-Series-Forecasting

Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits

Language: Jupyter Notebook - Size: 6.67 MB - Last synced at: 10 days ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1

tam-ng/Drought_Forecasting_TimeSeries

Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements

Language: R - Size: 21.1 MB - Last synced at: 8 days ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 2

lucidrains/ETSformer-pytorch

Implementation of ETSformer, state of the art time-series Transformer, in Pytorch

Language: Python - Size: 226 KB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 152 - Forks: 20

viniventur/TS-ICMS-Previsao

Utilizando Séries Temporais na Previsão de Arrecadação de ICMS para Alagoas no período de 2008 a 2021. Trabalho feito na matéria de econometria 2. Modelo usado: Suavização Exponencial de Holt-Winters.

Language: Jupyter Notebook - Size: 1.02 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Aparna-analyst/Time-Series

The Time Series Analysis repository contains various models and techniques used for analyzing time-dependent data.

Size: 1.24 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

hawkular/hawkular-datamining

Real-time time series prediction library with standalone server

Language: Java - Size: 3.99 MB - Last synced at: 10 days ago - Pushed at: almost 4 years ago - Stars: 39 - Forks: 22

nirajdsouza/budget-forecasting-tool

A learning tool to demonstrate the process of financial forecasting, budgeting, and analysis.

Language: Python - Size: 8.79 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

supermarmar/agnify-timeseries-forecasting

This repository contains notebooks and scripts developed for Agnify, focusing on advanced time series forecasting and data analysis.

Language: Jupyter Notebook - Size: 32.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

tinsaeabreham45/ewa_tool

Exponentially Weighted Averages (EWA) Visualization

Language: Python - Size: 4.88 KB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AhmetZamanis/KaggleStoreSales

Time series regression modeling on a dataset of supermarket sales across years, with the Darts library in Python.

Language: Python - Size: 91.7 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

HROlive/Time-Series-Forecasting-IKILeUS

Knowledge of various Time Series Forecasting topics: Long Short-Term Memory (LSTM), Exponential Smoothing, Autoregressive integrated moving average (ARIMA), TBATS, Multivariate Time Series Forecasting, XGboost, N_BEATS, and Prophet.

Language: Jupyter Notebook - Size: 3.81 MB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

PRPRIESLER/Time-Series-Analysis-Forecasting

This project presents a dual-phase analysis leveraging Python for two disparate datasets. In the initial segment, an exhaustive time series analysis is conducted on historical weather data sourced from Dublin Airport.

Language: Jupyter Notebook - Size: 5.41 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

uber/orbit

A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.

Language: Python - Size: 160 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 1,872 - Forks: 134

carlomazzaferro/scikit-hts

Hierarchical Time Series Forecasting with a familiar API

Language: Python - Size: 266 KB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 222 - Forks: 39

adarSonmez/forecasting-car-sales

This JAVA application reports how much your product will be sold in each month of the next two years, using 4 different forecasting methods according to the monthly sales data of the products you have entered in the last two years.

Language: Java - Size: 297 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

kkartavenka/AdaptiveEMA

Real-time smoothing/de-noising via exponential moving average and variable smoothing factor

Language: C# - Size: 383 KB - Last synced at: 16 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 1

chetandudhane/time-series-forecasting

This project is to build Forecasting Models on Time Series data of monthly sales of Rose and Sparkling wines for a certain Wine Estate for the next 12 months.

Language: HTML - Size: 17.9 MB - Last synced at: 8 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2

akomarla/forecast_demand

SKU-level customer demand forecasts for SSDs for improved long-term supply planning

Language: Python - Size: 32.6 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 1

yijie0707/Final-Year-Project

Predicting Natural Rubber Prices: An Analysis of ARIMA-GARCH, Exponential Smoothing and LSTM Approaches

Language: Jupyter Notebook - Size: 1.9 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

kaypro283/SmoothTrend

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.

Language: Python - Size: 245 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Priyanshu501/TimeSeries_Analysis

This repository contains a comprehensive analysis of time series data (stock prices), forecasted using various statistical and deep learning models.

Language: Jupyter Notebook - Size: 1.39 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

UBC-MDS/stockAnalyzer

DSCI 524 Group 20: R package that analyzes stocks!

Language: R - Size: 550 KB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 3

EmanTahir2002/Time-series-forecasting

Time series forecasting using 8 different models

Language: Jupyter Notebook - Size: 7.92 MB - Last synced at: about 2 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

IrisManola/Time-Series-Forecasting_Smoothing_SARIMAX

time series forecasting using exponential smoothing, SARIMA, SARIMAX

Language: Jupyter Notebook - Size: 5.81 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

bryce-bowles/ts-exponential-smoothing

ts-exponential-smoothing

Language: R - Size: 3.91 KB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

domingosdeeulariadumba/usretailsalesforecast-waterandalcohol-

In this project I present the US weekly retail sales forecast from the USDA's Economic Research Service (ERS) report.

Language: Python - Size: 3.48 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Jay-Amgoth/Gold-Price-Prediction-using-Time-Series-Analysis

This project aims to predict gold prices using various time series forecasting techniques. The dataset consists of monthly gold futures data over the last ten years. The primary methods used in this analysis include ARIMA, Error Trend Seasonal (ETS) models, and Exponential Smoothing techniques. The forecast horizon is set for the next two years.

Language: R - Size: 8.79 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

AdrianaAceroFV/DEMANDAELECTRICA_TIMESERIE

Trabajo Presentado en el Máster de Big Data, Data Science e IA del tema de Series Temporales

Language: Jupyter Notebook - Size: 2.68 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

RamaGovinda2928/Forecasting

Forecasting

Language: Jupyter Notebook - Size: 5.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ninad077/Machine_Learning-Time_Series_Analysis__Reinforcement_ML

Content: Unsupervised ML, Time Series analysis, Exponential Smoothing, Single Exponential smoothing, Holt Model, Holt Winter model, ARIMA model

Language: Jupyter Notebook - Size: 3.14 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

jthomperoo/holtwinters

Holt-Winters exponential smoothing implemented in Go.

Language: Go - Size: 15.6 KB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

sanyabhanot/Walmart-Sales-Forecasting

A time series model to predict weekly sales of Walmart data consisting of 45 stores located in different regions including store information and monthly sales using ARIMA and Exponential Smoothing.

Language: Jupyter Notebook - Size: 7.63 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aakashkh/Time-Series-Analysis-on-INR-USD

Time Series analysis on INR vs USD using Holt WInter, explonential smoothing and ARIMA

Language: HTML - Size: 1.71 MB - Last synced at: about 1 year ago - Pushed at: almost 9 years ago - Stars: 0 - Forks: 1

saikrishnabudi/Forecasting

Data Science - Forecasting

Language: Jupyter Notebook - Size: 5.06 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

debdattasarkar/Time-Series-Analysis-and-Forecasting-with-Exponential-Smoothing-and-Holt-Winters

Time Series Analysis and Forecasting with Exponential Smoothing and Holt-Winters in Python

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

VikramBansall/Bitcoin-Trading-Volume-Forecasting

Uncover hidden patterns and relationships within Bitcoin trading volume using rigorous time series techniques. Develop a robust forecasting model capable of accurately predicting future volume levels.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

horaciobrites/Prediccion-de-ventas-de-insumos-de-oficina-por-Ecommerce

Este proyecto, desarrollado como parte del trabajo final de la carrera de Data Science de CODERHOUSE, aborda el desafío de prever la cantidad de ítems que una empresa de ventas de insumos venderá en los próximos meses.

Language: Jupyter Notebook - Size: 2.38 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ipang-dwi/fts

Forecasting Time Series with Moving Average and Exponential Smoothing

Language: PHP - Size: 239 KB - Last synced at: 15 days ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 7

BrenoAV/airflow-sunspot-number-forecast

Download and forecast the Sunspot Number Progression provided by WDC-SILSO using airflow as an orchestrator.

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

EduardoH0/data_smoothing_visualization

Data smoothing visualization

Language: Python - Size: 6.84 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

michstg/HoltwinterSmoothing-ForecastCustomer-GoogleBusinessData

TimeSeries Analysis-TimeSeries Forecasting-Exponential Smoothing-Arima-Mape Evaluation-Insight Business

Language: Jupyter Notebook - Size: 3.05 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

Ashutosh27ind/TimeSeries-Inventory-Forecasting

Time Series forecasting model for predicting the unit’s movement of the inventory in the warehouses and stores in order to do capacity planning and prepare for peak volume at the granularity level of week/channel/location.

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

haverstein/Sunspot_Project

A time series analysis project on the R dataset sunspots.month

Language: Jupyter Notebook - Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MoinDalvs/CO2_Emission_Forecasting

P-140 Air Quality forecasting(CO2 emissions) Business Objective: To forecast Co2 levels for an organization so that the organization can follow government norms with respect to Co2 emission levels. Data Set Details: Time parameter and levels of Co2 emission

Language: Jupyter Notebook - Size: 54.2 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

pranshu1921/Time-Series-NYC-Births

Time series analysis on NYC births data.

Language: R - Size: 691 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

mdarm/neural-networks-project

Project on Foreign Exchange Forecasting, for the Μ401 - Deep Neural Networks course, NKUA, Fall 2022.

Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

TheMultivariateAnalyst/Time_Series_With_R

Analyzed a 10-year USD/EUR exchange rate dataset using ARIMA and Exponential Smoothing forecasting models. Achieved a MAPE of approximately 4.68% and RMSE of about 0.0605 for both models.

Language: R - Size: 69.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

artastier/MovingAverage_ExponentialSmoothing

Offers 4 filters based on moving average and exponential smoothing.

Language: C++ - Size: 79.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

zhousrhhh/Anomaly-Detection-for-Stock-Price-Data

Anomaly-Detection-for-Tesla-Stock-Price-Data

Size: 2.24 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

roissyahf/Predict-NTN-with-ARIMA-DES

Comparing ARIMA and DES performance in forecasting NTN

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ManojKumarMaruthi/Time-Series-Forecasting

Forecasting Monthly Sales of French Champagne - Perrin Freres

Language: Jupyter Notebook - Size: 1.57 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 22 - Forks: 9

satyakamacodes/Interactively-forecasting-Global-temperature-using-R-and-Shiny

This work is a extensive interactive visualization as well as forecasting tool to forecast global monthly temperature. Choice of country and state (for which the forecasting is required) is menu driven and based upon dynamic subsetting of data. In addition, various graphs and parameters pertaining to the model builiding, comparison of predicted and actual values and future forecast are all based upon click of the reelvant action buttons. The time series algorithm used is Exponential Smoothing, and fairly good results are obtained for a large combinations of countries and states.

Language: R - Size: 1.63 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 2

zhamadeh/Covid-Exponential-Growth---ShinyApp

Shiny app I built to track COVID19 cases/deaths by country on a daily basis and weekly rolling average

Language: R - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

UBC-MDS/stock_analyzer

DSCI 524 Group 20: Python package that analyzes stocks!

Language: Python - Size: 483 KB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 4

jrodr066/NeuralProphets

This is a time-series forecast project I did with Max Wang during the Summer 2022 to benchmark Facebook AI's Neuroprophet along other forecasting techniques.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

VaibhavDongre1311/End_to_end_oil_price_Forcasting_project

Business Problem: Oil price may fluctuate time to time based on more factors technical economical and natural as well as political so the forecasting may not be influenced by these some unexpected scenarios like Geopolitical issues (e.g.: War and Oil price Cap).

Language: Jupyter Notebook - Size: 6.32 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mpfoley73/mlb-games

Cleveland MLB (Guardians) game duration forecast

Language: HTML - Size: 78.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

MeetaRajput/Forecasting-Metal-Industry

A project about forecasting NIFTY50 Metal index of India through techniques like Time-series, Regression models using Machine Learning. Time-series model was good for short term and Regression models were suitable for overall long-term analysis

Language: Jupyter Notebook - Size: 140 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mamomen1996/R_CS_11

TimeSeries Analysis in R

Language: HTML - Size: 595 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

georgemuriithi/shale-gas-wells

The Korea National Oil Corporation was interested in purchasing shale gas wells from the United States and wanted to predict their production to select wells that maximize profit.

Language: Jupyter Notebook - Size: 3.42 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 2

maxwang1499/NeuralProphets Fork of jrodr066/NeuralProphets

This is a time series forecast project I did with Jennifer Rodriguez-Trujillo during Summer, 2022 to benchmark Facebook AI's NeuralProphet.

Size: 17.5 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

mhicoayala/volume_forecast

A comparison of time-series forecasting models on a weekday-only data using StatsForecast library.

Language: Jupyter Notebook - Size: 388 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

jmiskovic/dejitter

Simple adaptive filter for removing noise from 1D signal

Language: Lua - Size: 2.93 KB - Last synced at: 7 days ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

nphan20181/time_series_forecast

Interactive Dashboards to Experiment Time Series Forecast Methods: Application to Walmart Sales

Language: Jupyter Notebook - Size: 4.32 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

surajh8596/Time-Series-Forecasting

Different Time Series Forecasting Methods Like Moving Average, ETS, ARIMA, SARIMA, ARCH GARCH VAR

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

akshitvjain/product-sales-forecasting

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Language: Jupyter Notebook - Size: 9.81 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 19 - Forks: 16

arkadiuszsitkiewicz/bike-sharing-demand

Future forecast of time-series on bike sharing demand dataset

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Alex0Blackwell/water-conservation-prediction

Borealis AI mentored water consumption prediction machine learning web application!

Language: JavaScript - Size: 3.31 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

MinhDg00/theta

Theta methods for time series forcasting

Language: Python - Size: 35.2 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 5 - Forks: 0

FelipeMezzarana/forecast_models

Project in 3 steps: 1º Time series analysis; 2º Build Exponential Smoothing model; 3º Build ARIMA model; (Over a df with daily minimum temperatures in Melbourne, Australia, 1981-1990)

Language: Jupyter Notebook - Size: 5.08 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

kristpapadopoulos/keras-exponential-smoothing

Keras, Tensorflow eager execution layers for exponential smoothing

Language: Python - Size: 162 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

bademirci/Industrial-Eng.Appl.-in-Python

My assignments for END201 Course

Language: Python - Size: 107 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

bryce-bowles/tsf-richmond-bank

Using MS Excel and R, accurately forecasted total core deposit data from a Richmond Bank. The Holt’s Linear Exponential Smoothing had the overall lowest “Quick and Dirty” MAPE (1.2%), the lowest overall Maximum MAPE (3.49%), and consistently more accurate projections for each of the forecast horizons. Overall, the Unaided, Holts Linear Exponential Smoothing, and both regressions overestimated while the Naïve, 12 Month (M) Center Moving Average (CMA), 3M Moving Average (MA), 6M MA, Damped Trend Exponential Smoothing, and Simple Exponential Smoothing underestimated.

Language: R - Size: 751 KB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0