Datasets

A dataset is a structured collection of data, often organized in a tabular format such as spreadsheets or CSV files, where information is arranged in rows and columns. Datasets can encompass various types of data, including numerical, textual, images, videos, and audio files. They serve as the foundation for data analysis, machine learning, and research across multiple domains. Datasets can be created through various methods, including manual collection, automated processes, or by aggregating existing data from different sources. Understanding datasets is crucial for data scientists and researchers as they form the basis for deriving insights and making informed decisions.

Datasets

 Machine Learning Glossary

Datasets Public datasets in vision, nlp and more forked from caesar0301’s awesome datasets wiki. Agriculture Art Biology Chemistry/Materials Science Climate/Weather Complex Networks Computer Networks ...

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Datasets

 Machine Learning from Scratch Book

The examples in this book use several datasets that are available either through scikit-learn or seaboarn . Those datasets are described briefly below. Boston Housing The Boston housing dataset conta...

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Find Datasets: Soul of a Data Scientist

 Python in Plain English

A dataset is simply a collection of data. The simplest and most common format for datasets you’ll find online is a spreadsheet or CSV format (a single file organized as a table of rows and columns)…

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Datasets

 Christophm Interpretable Machine Learning Book

Throughout the book, all models and techniques are applied to real datasets that are freely available online. We will use different datasets for different tasks: Classification, regression and text cl...

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Datasets & DataLoaders

 PyTorch Tutorials

Datasets & DataLoaders Created On: Feb 09, 2021 | Last Updated: Jan 16, 2024 | Last Verified: Nov 05, 2024 Code for processing data samples can get messy and hard to maintain; we ideally want our data...

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Datasets & DataLoaders

 PyTorch Tutorials

Datasets & DataLoaders Code for processing data samples can get messy and hard to maintain; we ideally want our dataset code to be decoupled from our model training code for better readability and mod...

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Datasets and DataLoaders

 Codecademy

PyTorch provides two essential data handling abstractions: torch.utils.data.Dataset and torch.utils.data.DataLoader . These tools are crucial for efficient data management and preprocessing during mod...

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A Closer Look At Dataset Columns

 Towards Data Science

Researchers and data scientists work with datasets. Datasets are the raw material. When we apply analytical techniques to this raw material we produce summaries, tabulations, estimates, and other…

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Unlock the Power of Data Science with These Top Datasets

 Python in Plain English

Discover the Most Widely Studied and Used Datasets in Data Science for Optimal Results https://unsplash.com/pt-br/@campaign_creators When it comes to data science, the quality of the data being used ...

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7.2. Real world datasets

 Scikit-learn User Guide

scikit-learn provides tools to load larger datasets, downloading them if necessary. They can be loaded using the following functions: The Olivetti faces dataset: This dataset contains a set of face......

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A Dataset is a Worldview

 Towards Data Science

A dataset is a worldview. A machine learning model contains the bias of its input data. Datasets can and should have expiration dates.

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7.1. Toy datasets

 Scikit-learn User Guide

scikit-learn comes with a few small standard datasets that do not require to download any file from some external website. They can be loaded using the following functions: These datasets are usefu......

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