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

With torchvision datasets, developers can train and test their machine learning models on a range of tasks, such as image classification and object detection.

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

Datasets are crucial for anyone wanting to learn data science.

We need to increase the Failure Detection Rate (FDR) and reduce the False Alarm Rate (FAR). With a cherry on top: keeping costs low.

In this article, I want to show different table design techniques and examples of their application.

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

Can modern AI systems fully automate web data collection and analysis? Let’s delve deeper into ML and web scraping to see if this is more than just a new hype.

Database API is a convenient way to get relevant data records whenever needed. Learn about the benefits, limitations, and common use cases.

A guide for AI entrepreneurs on how to prepare a dataset for a machine learning project.

Learn how web scraping and data aggregation might feed of each other, unintentionally creating an effect of decision-making convergence.

Learn everything you need to know about Datasets via these 75 free HackerNoon stories.

We will guide you through a specific dataset, demonstrating how to implement the library and interpret results.

I had the opportunity to speak with Bourgeois about her project, what she learned, and how others can use creative approaches to ask questions

We migrated WebQuestionsSP, the best collection of natural language questions over a general knowledge graph, from Freebase to Wikidata.