7 Data Pre-Processing Methods With SciKit-Learn
Last Updated on July 26, 2023 by Editorial Team
Author(s): Carla Martins
Originally published on Towards AI.
Using Python and Google Colab
Top highlight
This member-only story is on us. Upgrade to access all of Medium.
Photo by James Harrison on Unsplash
Data pre-processing is an important part of preparing, organizing, and structuring data for further analysis or Machine Learning model engineering. This is a fundamental step that aims to organize the data so that it can be interpreted by the mathematical and computational models that we intend to apply.
The main problems encountered with data when not in ready-to-analyze format are generally related to data type (string vs float or int), different scales, outliers, different encoding, non-normal (or non-Gaussian) distribution, or presence of outliers.
In this… 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
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!
Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.
Related posts
Popular posts
Updates
Recent Posts
