tabular-data
Tabular data is a structured format for organizing information into rows and columns, resembling a spreadsheet or database table. It is one of the most prevalent data types used in data analysis and machine learning, encompassing various forms such as CSV files and relational databases. Traditionally, tabular data has been utilized for organizing and reporting information. However, its significance has grown with advancements in data science, particularly through platforms like Kaggle and the development of open-source libraries. These innovations have made it easier to manipulate, analyze, and model tabular data, paving the way for more sophisticated applications in artificial intelligence and data science.
The Evolution of Tabular Data: From Analysis to 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!
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
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
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
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
Deep Neural Networks are both reliable and effective for making predictions on tabular data.
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Synthetic Tabular Data Generation
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
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
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
Use neural networks and fastai library to process tabular data efficiently
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Tabulate
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?
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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