Time Series Analysis and Forecasting in Python
π€ Welcome to the comprehensive guide on Time-Series Analysis and Forecasting using Python π¨π»βπ». This repository is designed to equip you with the knowledge, tools, and techniques to tackle the challenges of analyzing and forecasting time-series data. Whether you're a beginner curious about the basics of time-series analysis or an advanced practitioner aiming to delve into the depths of forecasting models, this guide has something for youπ«±π»βπ«²πΌ.
π The contents are structured to provide a logical progression, starting with an introduction to the concepts and practices of time-series analysis, followed by data visualization techniques, exploratory data analysis (EDA), and more in-depth data analysis. We then transition π₯ into various forecasting methodologies, including classical statistical models, cutting-edge deep learning approaches, and the application of Facebook's Prophet tool for both univariate and multivariate forecasting π scenarios.
Cheers!! π»
Datasets Infoπ
Introduction to Time Series Analysis(Theory)π°
Time Series Data Visualizationπ
Time Series EDAπ
Time Series Forecasting Classical Methodsπ€
Time Series Forecasting with Deep LearningπΈοΈ