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Topic: "simple-exponential-smoothing"

MoinDalvs/Forecasting_Airline_Passengers_Traffic

Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: about 7 hours ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

sahidul-shaikh/time-series-forecasting-airline-passenger-traffic

Build models for forecasting Airline passenger traffic by utilizing several algorithms for time series analysis.

Language: Jupyter Notebook - Size: 809 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

MoinDalvs/Forecasting_CocaCola_prices.

Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Language: Jupyter Notebook - Size: 6.35 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

vaitybharati/Forecasting_Data_Driven_Models

Splitting data, Moving Average, Time series decomposition plot, ACF plots and PACF plots, Evaluation Metric MAPE, Simple Exponential Method, Holt method, Holts winter exponential smoothing with additive seasonality and additive trend, Holts winter exponential smoothing with multiplicative seasonality and additive trend, Final Model by combining train and test

Language: Jupyter Notebook - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

sakusuma/AirlinePassengerPrediction

Need to predict how many passengers are going to opt for the airline base on the historical information provided by the Airlines. Using various Time series techniques predicted the number of passengers

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: almost 2 years ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 1

pankyprtm/pycharm-python-project

Language: Python - Size: 5.86 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

RachitaGurudev/ARIMA

The data of different types of wine sales in the 20th century is to be analysed. Both of these data are from the same company but of different wines. As an analyst in the ABC Estate Wines, you are tasked to analyse and forecast Wine Sales in the 20th century.

Size: 4.02 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

rohra-mehak/Time-Series-Analysis-BDA

Language: Jupyter Notebook - Size: 8.69 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

DataScienceVishal/Airline_Passenger_Prediction

Airline passenger traffic prediction using time series forecasting techniques

Language: Jupyter Notebook - Size: 430 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

imane-ayouni/Time-Series-Forecast-Medium-Daily-Posts-Forecast

Time Series Forecasting Methods to forecast Daily Post Publications on Medium

Language: Jupyter Notebook - Size: 4.65 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

LouisTier/Time_Series_Project

Prediction of the evolution of time series, with or without seasonality

Language: Jupyter Notebook - Size: 5.07 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0