Complete Guide to Timeseries Analysis
This is video walkthrough on time series analysis using Python. In this video, we will be exploring various techniques for time series analysis, including ACF/PACF, ARIMA, Auto-ARIMA, Prophet, and ADF. We will be using Python libraries such as pandas and statistical models to preprocess, visualize, and model time series data. Specifically, we will be analyzing groundwater levels in Italy and exploring different models for time series forecasting. We will cover data visualization, preprocessing, feature engineering, exploratory data analysis, and modeling. By the end of this video, you will have a solid understanding of time series analysis and be able to apply these techniques to your own data.
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This tutorial is based on Jupyter notebook: https://www.kaggle.com/code/andreshg/...