tabular-data

Tabular data is a structured format that organizes information into rows and columns, resembling a spreadsheet or database table. This data type is prevalent in various fields, including data analysis, machine learning, and business intelligence. Each row typically represents a unique record, while columns correspond to specific attributes or features of that record. The simplicity and clarity of tabular data make it easy to manipulate, analyze, and visualize. Over the years, advancements in tools and techniques, such as open-source libraries and generative AI, have further enhanced the capabilities of working with tabular data, making it a cornerstone of modern data science.

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...

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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 ...

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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...

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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...

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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…...

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Tabular data analysis with deep neural nets

 Towards Data Science

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

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Synthetic Tabular Data Generation

 Towards Data Science

Introducing nbsynthetic: a simple but powerful tabular data generation open source library for small datasets. Image by author. Copyright NextBrain.ml In this article we introduce nbsyntehtic, an ope...

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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…

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Deep Learning Is Not ‘Worse’ than Trees on Tabular Data

 Towards Data Science

Moving beyond classical conceptions of what tabular data can be Continue reading on Towards Data Science

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Neural networks for Tabular Data

 Analytics Vidhya

Use neural networks and fastai library to process tabular data efficiently

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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…

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Modelling tabular data with Neural Networks and Transfer Learning! How and Why?

 Towards Data Science

How we can fine-tuned a classifier of natural images to perform machine learning tasks for tabular data? The answer is called SuperTML. In general, we can categorise our data into unstructured data…

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