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5 Free Practical Kaggle Notebook to Get Started With Time Series Analysis
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5 Free Practical Kaggle Notebook to Get Started With Time Series Analysis

Last Updated on January 2, 2024 by Editorial Team

Author(s): Youssef Hosni

Originally published on Towards AI.

Unlocking Time Series Insights: Dive into 5 Free and Practical Kaggle Notebooks to Kickstart Your Analysis

Time series data is one of the most common data types in the industry, and you will probably be working with it in your career. Therefore, understanding how to work with it and how to apply analytical and forecasting techniques are critical for every aspiring data scientist.

In this practical Kaggle notebook, I went through the basic techniques to work with time-series data, starting from data manipulation, analysis, and visualization to understand your data and prepare it for and then using statistical, machine, and deep learning techniques for forecasting and classification.

Manipulating Time Series Data In PythonTime Series Data Visualization In PythonTime Series Exploratory Data Analysis In PythonTime Series Forecasting with ARIMA Models Part 1Time Series Forecasting with ARIMA Models Part 2

Most insights I share in Medium have previously been shared in my weekly newsletter, To Data & Beyond.

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