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Learn how to use a compiler SQL online to write, compile, and test SQL queries instantly without installing any software. This beginner-friendly guide covers online SQL query compilers, MySQL online compiler, SQL Server online compiler, practical examples, and FAQs to help you practice SQL faster and smarter. Read More »
AI is rapidly changing how we search and discover information, moving beyond traditional search engines. This blog explains why AI might replace search engines, the technology behind it, its impact on businesses and SEO, and what the future holds for global information access. Read More »
AI Agents are transforming the way businesses operate—automating tasks, making decisions, and even replacing certain manual jobs. This blog explores what AI Agents are, how they work, the industries they’re reshaping, the impact on traditional roles, and the new career paths with promising salary trends in 2025. Read More »
A complete guide to installing Tableau and Power BI on Ubuntu using VirtualBox. Set up a virtual environment to run leading BI tools easily on your Linux system. Read More »
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Multimodal generative AI is breaking barriers in content creation, allowing anyone to produce compelling text, images, audio, and videos effortlessly. Explore how this technology is redefining the creative landscape in 2025. Read More »
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Explore Datasets for Machine Learning
Awesome-ChatGPT-Prompts
The Awesome-ChatGPT-Prompts dataset is a community-curated collection of high-quality prompts for ChatGPT and other large language models. It includes diverse prompt templates—from technical tasks like acting as a Linux terminal or Python interpreter to creative roles like storyteller or teacher—helping users explore, reuse, and improve prompt engineering practices. The dataset is open-source under CC0, making it freely available for research, development, and practical applications.
- Type: Real, Data-Generator
- Task: Learning Prompt
- Attributes: String
- Year: 2025
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
Amazon Product Reviews Dataset
Amazon Review Data (2018) is a large-scale dataset containing over 233 million customer reviews from Amazon products between 1996 and 2018. It includes detailed review information such as ratings, review text, helpfulness votes, and timestamps, along with rich product metadata like brand, price, category, and images. This dataset supports various tasks in natural language processing, sentiment analysis, and recommendation systems.
- Type: Real
- Task: Classification,Regression
- Attributes: Multivariate, Sequential, Temporal aspect
- Year: 2018
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
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
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
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
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
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
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
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
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This blog explores time series analysis on Air Passenger Data, covering trend decomposition, stationarity testing, ARIMA forecasting, and anomaly detection. Follow a step-by-step guide with Python code to gain insights into historical data trends and make future predictions. Read More »
Looking for high-quality datasets for your machine learning and data science projects? Here’s a list of 16+ top websites where you can find free datasets on various topics! Read More »
In This Post We Will see Goverment Dataset from 50 Countries for Machine Learning Training and Everything is free of Cost and Downloadable. Read More »
In This post we share top Datasets for Speech Recognition. Speech emotion analysis is an important task which further enables several application use cases. Due to the widespread use of smartphones, Read More »
If you are Beginner or Professional doesn't matter practice make you perfect so we are back with top 10 dataset for Natural Language Processing for Beginner and Professional. Read More »
If you are a machine learning beginner and looking to finally get started using Python, In this Post you see some top Datasets for beginners level. Read More »