Time Series Foundations
Forecasting need, qualitative vs quantitative methods, what qualifies as time series data, special features, EDA, components, and decomposition.
21CSE584T exam sprint
A clean, exam-ready study desk for Time Series Analysis and Forecasting Units 1 and 2: introduction, decomposition, moving averages, validation, smoothing, formulas, and question-bank style practice.
Forecasting need, qualitative vs quantitative methods, what qualifies as time series data, special features, EDA, components, and decomposition.
Naive forecast, average forecast, simple and centered moving averages, accuracy metrics, SES, Holt, and Holt-Winters selection logic.
Representative question-bank patterns grouped by topic, with compact solution outlines and checked moving-average calculations.
Whenever you see a series, ask: is there trend, seasonality, both, or neither? That one decision chooses most of the method.
This study site is paraphrased and organized from the supplied Introduction to Time Series PDF, Moving Average PDF, cheat sheet DOCX, and the question-bank PDF. The original files remain outside the deployable site folder.