Avneesh Panwar ,  6 days ago

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 »

Aayush Saini ,  5 months ago

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 »

Aayush Saini ,  5 months ago

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 »

Aayush Saini ,  5 months ago

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 »

Aayush Saini ,  6 months ago

Explore the core of Large Language Models (LLMs) — what they are, how they work, their real-world applications, key frameworks, and career opportunities in 2025. A must-read for tech enthusiasts, AI learners, and professionals. Read More »

Aayush Saini ,  6 months ago

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

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
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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
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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
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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
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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
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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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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
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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
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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
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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
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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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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
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Read Dataset Blogs

Aayush Saini ,  10 months ago

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 »

Aayush Saini ,  10 months ago

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 »

Aayush Saini ,  5 years ago

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 »

Aayush Saini ,  5 years ago

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 »

Aayush Saini ,  5 years ago

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 »

Aayush Saini ,  5 years ago

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 »