Free Datasets for your Machine Learning Projects

Free Datasets for Machine Learning Projects



Machine learning is a branch of artificial intelligence that involves creating systems that can learn from data and make predictions or decisions. Machine learning projects require large amounts of data to train and test the models. However, finding good quality and relevant data can be challenging and expensive.

Fortunately, there are many online sources that provide free datasets for machine learning projects. These datasets cover various topics and domains, such as images, text, audio, video, social media, healthcare, finance, education, etc.

Open Dataset Aggregators

One of the easiest ways to find free datasets for machine learning projects is to use open dataset aggregators. These are platforms that collect and curate datasets from different sources and make them available for download or access via APIs. Some of the most popular open dataset aggregators are:
  • Kaggle: Kaggle is a platform for data science and machine learning competitions that offers thousands of open datasets on various topics and domains. You can also join Kaggle communities and forums to discuss and share insights on the datasets.
  • OpenML: OpenML is an online platform for machine learning that allows you to find, upload, download, explore, analyze, and share datasets. You can also run machine learning experiments on the datasets using various tools and frameworks.
  • Google Dataset Search: Google Dataset Search is a search engine that helps you find datasets across the web. You can filter the results by format, license, update frequency, etc. You can also see the metadata and provenance of the datasets.
  • UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms. It is hosted and maintained by the Center for Machine Learning and Intelligent Systems at the University of California, Irvine. You can access over 600 datasets on various topics and domains from their website
  • Awesome Public Dataset is an open-source dataset that contains topic-centric public data. It is a GitHub repository that collects and sorts datasets from various sources and categories. You can find free and paid datasets on topics such as physics, sports, software, natural language, and machine learning.

Public Government Datasets

Another great source of free datasets for machine learning projects is public government datasets. These are datasets that are released by government agencies or organizations for public use. They often contain valuable information on various aspects of society, such as demographics, economics, health, education, environment, etc. Some of the best public government datasets are:
  • Data.gov: Data.gov is the home of the US government’s open data initiative that provides access to over 300,000 datasets from federal agencies and state governments. You can browse the datasets by category, keyword, agency, format, etc.
  • EU Open Data Portal: EU Open Data Portal is the single point of access to open data from the European Union institutions and agencies. You can find over 16,000 datasets on various topics related to the European Union policies.
  • World Bank Open Data: World Bank Open Data is a platform that provides free access to global development data from the World Bank Group. You can find over 3,000 datasets on topics such as poverty, health, education,

 Free Financial Datasets on Stocks, Companies, and Macroeconomic
  • SimFin: SimFin is a free source for fundamental financial company data of US-listed stocks. You can download historical income statements, balance sheets, cash flow statements, and ratios. SimFin Python library on GitHub  is SimFin/simfin: Simple financial data for Python (github.com)
  • Alpha Vantage: Alpha Vantage offers free access to pricing data including stock time series data, physical and digital currencies, technical indicators, and sector performances2.
  • SEC: The SEC provides financial statement data sets that contain numeric information from the face financials of all financial statements filed with the Commission using XBRL. You can download quarterly data sets from January 2009 to June 2023.
  • Nashdaq/QUANDL: The premier source for financial, economic, and alternative datasets, serving investment professionals. Quandl’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers, and investment banks

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