Datasets for Machine Learning
Ozone Level Detection Dataset
Two ground ozone level data sets are included in this collection. One is the eight hour peak set (eighthr.data), the other is the one hour peak set (onehr.data). Those data were collected from 1998 to 2004 at the Houston, Galveston and Brazoria area.
- Type: Real
- Task: Classification
- Attributes: Multivariate, Sequential, Time-Series
- Year: 2008
Bank Transaction Fraud Detection
At LOL Bank Pvt. Ltd., ensuring the safety and integrity of economic transactions is a top priority. With increasingly more on line transactions and digital banking activities, fraudulent transactions have end up a good sized danger to both the financial institution and its customers. Fraudulent activities, along with unauthorized account get right of entry to, identification robbery, and suspicious transaction patterns, bring about economic losses and harm to patron agree with.
- Type: Multivariate
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2024
YouTube Trending Video Dataset (updated daily)
YouTube maintains a list of the top trending videos on the platform. According to Variety magazine, “To determine the year’s top-trending videos, YouTube uses a combination of factors including measuring users interactions (number of views, shares, comments and likes). Note that they’re not the most-viewed videos overall for the calendar year
- Type: Multivariate
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2021
Covid-19 Case Surveillance Public Use Dataset
The COVID-19 case surveillance system database includes individual-level data reported to U.S. states and autonomous reporting entities, including New York City and the District of Columbia (D.C.), as well as U.S. territories and states. On April 5, 2020,
- Type: Multivariate, Data-Generator
- Task: Relational-Learning
- Attributes: Real
- Year: 2020
US Election 2020
The US Election 2020 dataset contains 864 instances and 52 attributes, focusing on the presidential race at the county level. It includes real-valued multivariate data for classification and regression tasks, with no missing values. The dataset provides insights into voting patterns and election trends across the U.S.
- Type: Multivariate
- Task: Classification, Regression
- Attributes: Real
- Year: 2020
Forest Fires Dataset
Forest fires are a major environmental issue, creating economical and ecological damage while endangering human lives. Fast detection is a key element for controlling such phenomenon. To achieve this, one alternative is to use automatic tools based on local sensors, such as provided by meteorological stations.
- Type: Multivariate
- Task: Regression
- Attributes: Real
- Year: 2008
Mobile Robots Dataset
The Mobile Robots dataset, published in 1995, contains sensor data from a mobile robot for classification tasks. It includes categorical, integer, and real attributes with no missing values. The dataset is used for learning concepts from robotic sensor data and was contributed by researchers from the University of Dortmund, Germany.
- Type: Domain-Theory
- Task: Classification
- Attributes: Categorical, Integer, Real
- Year: 1995
Safety Helmet Detection
Improve work safety by detecting the presence of people and safety helmets. To import a dataset, install MakeML. You can train an Object Detection neural network in a few clicks using this dataset.
- Type: Image
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2020
All Space Missions from 1957
This Dataset contains informations regarding space missions since the beginning of them (1957). This Datasets contains 9 Column (String : 6, Integer : 2, Decimal : 1) This DataSet was scraped from https://nextspaceflight.com/launches/past/?page=1 and includes all the space missions since the beginning of Space Race (1957)
- Type: Multivariate
- Task: Classification, Clustering, Causal-Discovery
- Attributes: Real
- Year: 2020
OSIC Pulmonary Fibrosis Progression Dataset
The Open Source Imaging Consortium (OSIC) is proud to partner with Kaggle to host the first-ever computational challenge for interstitial lung diseases: The OSIC Pulmonary Fibrosis Progression Challenge. A $55,000 prize will be offered to the Kaggle investigator(s) who devises the highest performing algorithm.
- Type: Image
- Task: Classification, Regression, Clustering
- Attributes: Real
- Year: 2019
Wine Quality Dataset
The dataset contains different chemical information about wine. It has 4898 instances with 14 variables each. The dataset is good for classification and regression tasks. The model can be used to predict wine quality.
- Type: Multivariate
- Task: Classification, Regression
- Attributes: Real
- Year: 2009
Google Audio Dataset
AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The ontology is specified as a hierarchical graph of event categories.
- Type: Multivariate
- Task: Relational-Learning
- Attributes: Real
- Year: 2017
Iris flower dataset
The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician, eugenicist, and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.
- Type: Multivariate
- Task: Classification
- Attributes: Real
- Year: 1988
Artificial Characters Dataset
This database has been artificially generated by using a first order theory which describes the structure of ten capital letters of the English alphabet and a random choice theorem prover which accounts for etherogeneity in the instances.
- Type: Multivariate
- Task: Classification
- Attributes: Categorical, Integer, Real
- Year: 1992
Bitcoin Heist Ransomware Address Dataset
We have downloaded and parsed the entire Bitcoin transaction graph from 2009 January to 2018 December. Using a time interval of 24 hours
- Type: Multivariate
- Task: Classification, Regression, Clustering
- Attributes: Integer
- Year: 2010
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