For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning.

The article explains what object detection is, overviews its use cases across industries, and highlights a case study for an object detection system development

Swahili (also known as Kiswahili) is one of the most spoken languages in Africa. It is spoken by 100–150 million people across East Africa. Swahili is popularly used as a second language by people across the African continent and taught in schools and universities.…

In this test we use the data collection of 1.1M Hacker News curated comments with numeric fields from https://zenodo.org/record/45901.

In 2022, Gartner named Microsoft Power BI the Business Intelligence and Analytics Platforms leader. These are the 13 Best Datasets for Power BI Practice.

Excel is an indispensable tool for data manipulation, data visualization and statistical analysis. These are 15 Excel datasets for data analytics beginners.

Sklearn datasets are included as part of the scikit-learn (sklearn) library, so they come pre-installed with the library.

The accuracy of a machine learning model is a measure of how well it can make predictions on new, unseen data.

I've created hundreds of financial models in Google Sheets using SQL and AI to help the company sell billions of dollars.

The size of the dataset affects the quality of an AI product. Learn how big — or how small — should a dataset be for your next AI project.

In this paper, researchers introduce Solos, a clean dataset of solo musical performances for training machine learning models on various audio-visual tasks.

In this paper, researchers introduce Solos, a clean dataset of solo musical performances for training machine learning models on various audio-visual tasks.

In this paper, researchers introduce Solos, a clean dataset of solo musical performances for training machine learning models on various audio-visual tasks.

In this paper, researchers introduce Solos, a clean dataset of solo musical performances for training machine learning models on various audio-visual tasks.

In this paper, researchers introduce Solos, a clean dataset of solo musical performances for training machine learning models on various audio-visual tasks.