- β data of store visitors: id, gender, age, income, spending rating. (Use case: )
- β a beginner's dataset containing petal and sepal sizes for various flowers.
- β a dataset of handwritten digits. 60,000 training images and 10,000 test images.
- β a popular dataset for pattern recognition. Contains information about homes in Boston: number of units, rent prices, crime index.
- β contains 7,796 records with news labeling: true or false. (Implementation option with Python source code: )
- β contains information about wine: 4,898 records with 14 parameters.
- β a good starting option. Contains 25,000 records on the height and weight of 18-year-olds.
This article is translated with support from EDISON Software, which , as well as . - β 195 records about patients with Parkinson's disease, with 25 analysis parameters. Can be used for preliminary assessment to distinguish between healthy and ill individuals. (Implementation option with Python source code: )
- β contains information about passengers (age, gender, relatives on board, etc.) 891 in the training set and 418 in the test set.
- β information on 4.5 million Uber rides in 2014 and 14 million in 2015. (Implementation option with R source code: )
- β contains images of British and Canadian symbols in 64 classes: 0-9, A-Z, a-z. 7700 natural images, 3400 handwritten, and 62,000 computer-synthesized fonts.
- β contains information about transactions from compromised credit cards. (Implementation option with source code: )
- β a JSON file that contains various tags: greetings, goodbye, hospital_search, pharmacy_search, etc. Contains a set of "question-answer" templates. (Implementation option with Python source code: )
- β contains half a million emails from 150 Enron managers.
- β contains 1.2 million recommendations from 1.6 million users about 1.2 million organizations.
- β over 200,000 "question-answer" records from the popular television game.
- β a portal with a collection of datasets from UCSD. It contains records of reviews from popular sites (Goodreads, Amazon). Ideal for building recommendation systems. (Implementation option with R source code: )
- β a dataset for training spam detection. It contains 4601 emails with 57 metadata features.
- β over 30,000 images and their captions. ( β 8000 images. Project with source code in Python: )
- β 25,000 movie reviews in the training set and 25,000 in the test set. (Implementation option with R source code: )
- β 1.5 million labeled images.
- β CIFAR-10 contains 60,000 small images of digits 0-9, 32*32 pixels each. CIFAR-100 contains images of objects 0-100.
- β 50,000 images of 43 traffic signs. (Implementation option with Python source code: )
- β contains over 100,000 phrases and about 1000 images per phrase.
- β the dataset contains images of breast cancer samples. (Use case with source code in )
- β contains high-quality annotations of street video sequences from various cities.
- β contains a URL link to about 6.5 million high-quality videos.
- β the dataset contains 25,000 images of human poses annotated by joints.
- β a collection of high-quality videos showing how a person performs various actions.
- β a dataset of high-quality images with bounding boxes around objects.
- β contains over 1000 images with their contour drawings.
- β the dataset contains 491 CT scans of the head with 193,317 slices.
- β a dataset with over 5 million face images labeled by gender and age. (Use case with source code in )
- β a labeled video dataset containing 6.1 million YouTube video IDs.
- β a dataset of urban sound data (contains 8732 urban sounds from 10 classes).
- β a dataset of millions of color images of scenes and objects (about 59 million images, 10 different categories of scenes and 20 different categories of objects).
- β an audiovisual dataset of emotional speech. (Use case with source code in )
- The dataset contains 1000 hours of English speech with various accents.
- A dataset for the development of autonomous driving technologies.
- A repository of economic and financial data (includes free and paid content).
- Information about loans issued by the World Bank to developing countries.
- The International Monetary Fund's portal, which publishes data on international finance, debt rates, investments, foreign reserves, and commodities.
- A resource for finding macroeconomic data in the U.S.
- Google Trends data can be used for visual exploration and data analysis.
- A resource for obtaining current information about financial markets worldwide.
- The U.S. government open data portal (agriculture, health, climate, education, energy, finance, science and research, etc.).
- India's open government data platform.
- Contains research data on nutrition in the U.S.
- This is the portal of the U.S. Department of Health and Human Services.
- Contains a wide range of health-related data.
- Data about the lives of people in London.
- The open data portal about Canadians (agriculture, arts, music, education, government, health, etc.).
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Source: habr.com
