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Explore how Artificial Intelligence is reshaping the supply chain and logistics industry. Learn about its real-world applications, career opportunities, salary expectations, and how to get started in this exciting domain. Read More »
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 »
AI companies lure users with fun filters and AI tools while secretly collecting facial data. This data can be misused for surveillance, hacking, identity theft, and even military applications. Learn how to protect yourself from AI-driven exploitation. 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 »
AI is revolutionizing marketing and advertising through automation, personalization, and predictive analytics. Learn how AI is shaping ad targeting, content creation, and customer insights, along with salary trends, career opportunities, and top companies hiring AI marketing professionals. Read More »
AI is reshaping cybersecurity by enhancing threat detection, automating security responses, and protecting sensitive data. This blog explores the impact of AI on digital security, career prospects, salary trends, and future opportunities. Read More »
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Explore Datasets for Machine Learning
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
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
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
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
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
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
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
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
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
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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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 »