Tabular data - Learn Data Science with Travis

Tabular-data

Tabular data is a structured format for organizing information into rows and columns, resembling a spreadsheet or a database table. This data type is prevalent in various fields, including data analysis, machine learning, and business intelligence. It encompasses diverse datasets, such as CSV files and relational databases, making it versatile for numerous applications. Over the years, the use of tabular data has evolved significantly, driven by advancements in data science competitions, open-source tools, and generative AI. These developments have enhanced the ability to manipulate, analyze, and model data effectively, making tabular data a cornerstone of modern data practices.

The Evolution of Tabular Data: From Analysis to AI

Towards AI

Discover how tabular data space is being transformed by Kaggle competitions, the open-source community, and Generative AI. Image by Author Introduction Tabular data refers to data organized into rows...

Tabula Rasa: not enough data? Generate them!

Level Up Coding

Tabular data are often composed of small datasets. Although they are ubiquitous, many of these data are expensive to obtain (e.g., in the medical field), and privacy must be considered when analyzing ...

Transformers for Tabular Data

Towards Data Science

How to use SageMaker’s built-in algorithm TabTransformer with your own data Image by author (created with OpenAI’s DALL·E 2) What is this about? In June 2022 AWS announced a new range of built-in alg...

Tabular data analysis with deep neural nets

Towards Data Science

Deep Neural Networks are both reliable and effective for making predictions on tabular data.

Neural networks for Tabular Data

Analytics Vidhya

Use neural networks and fastai library to process tabular data efficiently

Data comes in different shapes and sizes

Towards Data Science

Tables — tabular representation of data, is probably the oldest way of storing data. It is also the simplest. We define rows and columns, where a column represents a property and a row represents an…

Data Augmentation for Tabular Data

Analytics Vidhya

The main idea of why and how to use Deep Learning to create data augmentation on tabular data is decribed in my previous blogpost on this topic. Since then quite some time has passed and I decided to…...

Tabular Data Exploration and Modelling with LLMs

Towards AI

Large Language Models have been rising recently and will be like that in the upcoming year. The rise could be addressed as a product of the LLM's usefulness in solving many problems. From answering ou...

How to Generate Tabular Data Using CTGANs

Towards Data Science

The purpose of this article is to fill the gap in the internet for a good explanation of how Conditional Tabular GANs work. Tabular data generation is a growing field of research; the CTGANs paper…

Tabulate

Python in Plain English

The tabulate module is a Python library that allows you to easily create and print tables in a variety of formats. It is especially useful for generating tabular data in a command-line interface or…

Tabula rasa: Could We Have a Transformer for Tabular Data

Level Up Coding

Why do tree-based models outperform deep learning for tabular data? This has been the question we have been asking so far. Starting with what are the theoretical reasons that so far support this idea....

Optimize Power BI data model with Tabular Editor

Towards Data Science

Is Tabular Editor a kind of magic wand that can help you transform data model “monsters” into “beauties” with a few clicks? Almost! Learn… Continue reading on Towards Data Science