This repository contains various techniques and approaches for performing time series analysis. It focuses on analyzing and forecasting time-based data, commonly used in fields such as economics, weather prediction, sales forecasting, and more.
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Data Simulation: Various notebooks that generate time series data
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Time Series Decomposition: Breaking down time series data into trend, seasonality, and noise.
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Modeling: Going through the different models for Time Series like ARIMA
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Visualizations: Clear, interactive visualizations using mainly Plotly Express to visualize trends, forecasts, and model results.
Clone the repository:
git clone https://github.com/Aneifer/time_series_analysis.git