GitHub topics: naive-forecasting
razamehar/Weather-Time-Series-Analysis-using-Statistical-Methods-and-Deep-Learning-Models
This project conducts a thorough analysis of weather time series data using diverse statistical and deep learning models. Each model was rigorously applied to the same weather time series data to assess and compare their forecasting accuracy. Detailed results and analyses are provided to delineate the strengths and weaknesses of each approach.
Language: Jupyter Notebook - Size: 4.22 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Honey28Git/Time-Series-Forecasting
Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.
Language: Jupyter Notebook - Size: 4.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
guilhermedom/time-series-forecast-benchmark
Benchmarking app for time series forecasting methods.
Language: R - Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
