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

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.

If you want to be up-to-date with the frenetic world of AI while also feeling inspired to take action or, at the very least, to be well-prepared for the future ahead of us, this is for you.

U+1F3DDSubscribe belowU+1F3DD to become an AI leader among your peers and receive content not present in any other platform, including Medium:

Data Science, Machine Learning, AI, and what is… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI