- Digital Marketing
- Datasets
- YII PHP Framework
- Machine Learning
- How To
- Data Science
- Python Challenge
- Tkinter
- Tableau
- SQL
- Artificial Intelligence
- Sponsored Posts
- Career Guide
- Computer Vision
- Python
- Interview Question
- Datasets
- About Us
- Contact Us
- Youtube
- Tutorials
- Yii2 Framework
- Python Basics
- Data Analysis with Python
- Advanced SQL
- Unsupervised Learning
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 »
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 »
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 »
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
Random Blogs
- Variable Assignment in Python
- Create Virtual Host for Nginx on Ubuntu (For Yii2 Basic & Advanced Templates)
- AI & Space Exploration – AI’s Role in Deep Space Missions and Planetary Research
- How Multimodal Generative AI Will Change Content Creation Forever
- The Ultimate Guide to Artificial Intelligence (AI) for Beginners
- Role of Digital Marketing Services to Uplift Online business of Company and Beat Its Competitors
- 10 Awesome Data Science Blogs To Check Out
- Types of Numbers in Python
- Important Mistakes to Avoid While Advertising on Facebook
- 15 Amazing Keyword Research Tools You Should Explore
Follow us on Linkedin
Test Your Skills with Programming Quiz
Challenge yourself with multiple-choice programming quizzes. Track your progress, improve your knowledge, and get ready for technical interviews.
Multiple Topics
Python, Machine Learning, Data Structures & more
Track Progress
View attempt history and see how you improve
Instant Feedback
Get results and explanations right after each quiz
Interview Questions and Answers
Explore Datasets for Machine Learning
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
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
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
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
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
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
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
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
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
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
Tutorials
Read Dataset Blogs
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 »
