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.

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

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 …

A Stock Market Forecaster using LSTM and HWES

Comparative Study of Forecasting Models

Time_Series_Analysis_and_Forecasting

Análisis y pronóstico de series temporales de NO₂ y CO en Madrid (2001-2018). Aplicación de ARIMA y métodos de suavizado exponencial (SES, Holt, Holt-Winters) con evaluación mediante métricas de error.