Aayush Saini ,  1 day ago

This blog demystifies the confusion between Data Science, Machine Learning, Deep Learning, Data Analytics, and AI Research careers. It outlines tools, skills, salaries, real-world projects, and a clear roadmap to help students and professionals start a successful AI career in 2025. Read More »

Aayush Saini ,  3 weeks ago

This blog provides a complete guide to SQL Window Functions, covering essential components like OVER(), PARTITION BY, ORDER BY, and ROWS BETWEEN. It explains popular functions like ROW_NUMBER(), RANK(), LAG(), LEAD(), and SUM() with practical examples, use cases, and tips to help beginners and professionals master SQL analytics. Read More »

Aayush Saini ,  4 weeks ago

This blog provides a comprehensive comparison between SQL and popular relational database systems including MySQL, PostgreSQL, MS SQL Server, Oracle, SQLite, and MariaDB. It explains their differences, use cases, strengths, limitations, and licensing models—helping both beginners and professionals choose the right database for their applications. Read More »

Aayush Saini ,  1 month ago

Learn how to overcome MySQL’s column and row-size limits with five powerful strategies, including engine tweaks, schema design patterns, and modern JSON/EAV approaches. Read More »

Aayush Saini ,  1 month ago

This blog post demystifies database normalization and denormalization for beginners. You’ll learn why and when to split or combine tables, see detailed explanations of 1NF–5NF and BCNF, and follow along with relatable examples using Indian names. Read More »

Aayush Saini ,  1 month ago

This blog explains the key differences between Data Lake, Data Lakehouse, Data Warehouse, and Data Mart. It covers their roles in modern data architecture, why traditional databases are not enough for analytical needs, and how these components work together in a hierarchy to support scalable, efficient, and purpose-driven data management. Read More »

Explore Datasets for Machine Learning

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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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
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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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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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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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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
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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
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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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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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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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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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Read Dataset Blogs

Aayush Saini ,  3 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 ,  3 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 ,  4 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 »