GitHub topics: exponentialsmoothingmodel
Steffin12-git/Time-series-Superstore-Sales
Time series forecasting on Superstore sales data using ARIMA and Holt–Winters models. Includes data preprocessing, decomposition, model comparison, and 12-month sales forecast. Holt–Winters (Multiplicative Trend) selected for best accuracy.
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
Steffin12-git/Kmeans-online-retail
Unsupervised customer segmentation on the UCI Online Retail II dataset using RFM features and KMeans. Includes full pipeline: data cleaning, feature engineering, outlier handling, model selection (Elbow & Silhouette), and actionable segment insights for targeted marketing.
Language: Jupyter Notebook - Size: 44.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
raghavendranhp/Forecasting-Car-Sales-Trends
Elevating Times Series Forecasting of Cars, Truck Sales in UK for precise and competitive forecasting in diverse industries.
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Nemshan/Predicting-Oil-Price-With-Time-Series-
The goal of our analysis was to use different time series methods to predict the oil price for the last 6 months of the data, September 2017 through February 2018, and determine the best prediction model for this data.
Language: R - Size: 769 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 5
swarna0712/Stock-Prediction-Time-Series-Data-Analysis
Auto ARIMA Model
Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
