A Practical Approach to Timeseries Forecasting Using Python - Module Overview - Data Processing for Timeseries Forecast

This video tutorial covers time series forecasting using Python. It begins with an introduction to time series analysis and visualization using pandas and matplotlib. The course then focuses on selecting and manipulating a weather data set, followed by data preprocessing techniques such as cleaning and handling. The RVT method (Resampling, Visualization, Transform) is introduced for time series analysis. The importance of a quality data set is discussed, along with data manipulation commands. The tutorial also covers time series decomposition into components and concludes with feature engineering and stationarity checks using the Dickey Fuller test.

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