📦 Datasets name: Heart Attack Dataset


🌸 The heart attack datasets were collected at Zheen hospital in Erbil, Iraq, from January 2019 to May 2019. The attributes of this dataset are: age, gender, heart rate, systolic blood pressure, diastolic blood pressure, blood sugar, ck-mb and troponin with negative or positive output. According to the provided information, the medical dataset classifies either heart attack or none. The gender column in the data is normalized: the male is set to 1 and the female to 0. The glucose column is set to 1 if it is > 120; otherwise, 0. As for the output, positive is set to 1 and negative to 0.


🌐 Format: CSV file

🔐 From: Kaggle

🟢 https://t.me/datasets1

📦 Datasets name: Instagram Data

🌸 Dive into Random Public Account Posts, Likes, and Metrics

🌐 Format: CSV file

🔐 From: Kaggle

🟢 https://t.me/datasets1

📦 Datasets name: NASA: Asteroids Classification


🌸 NeoWs (Near Earth Object Web Service) is a RESTful web service for near earth Asteroid information. With NeoWs a user can: search for Asteroids based on their closest approach date to Earth, lookup a specific Asteroid with its NASA JPL small body id, as well as browse the overall data-set.


🌐 Format: CSV file

🔐 From: Kaggle

👀 https://t.me/datasets1

📦 Datasets name: Metaverse Financial Transactions


🌸 This dataset provides blockchain financial transactions within the Open Metaverse, aiming to provide a rich, diverse, and realistic set of data for developing and testing anomaly detection models, fraud analysis, and predictive analytics in virtual environments. With a focus on applicability, this dataset captures various transaction types, user behaviors, and risk profiles across a global network.


🌐 Format: CSV file

🔐 From: Kaggle

👀 https://t.me/datasets1

📦 Datasets name: Effects of Alcohol on Student Performance


🌸 The main aim of this project is to predict students academic performance (grades) using a multilinear regression model built on the predictors mentioned based on 2023 student information.This is the raw data file, straight from the survey collected. You will see some responses on "what year were you in last year" have been left blank which indicates that the students previous year of study was not in university but rather high school. Since the point of the model is to be based on university students, these observations that have been left blank will be removed so that only students who were in university in 2023 and onwards are taken into consideration


🌐 Format: CSV file

🔐 From: Kaggle

👀 https://t.me/datasets1

📦 Datasets name: Population Growth in India 1950-2024


🌸 This dataset contains the variation in the population of India over the past 74 years. This dataset will be of great help in driving insights related to the population growth in India.


🌐 Format: CSV file

🔐 From: Kaggle

😠 https://t.me/datasets1

📦 Datasets name: COVID-19 Vaccinations in the US


🌸Overall US COVID-19 Vaccine deliveries and administration data in 2020-2023- Data represents all vaccine partners including jurisdictional partner clinics, retail pharmacies, long-term care facilities, dialysis centers, Federal Emergency Management Agency and Health Resources and Services Administration partner sites, and federal entity facilities


🌐 Format: CSV file

🔐 From: Kaggle

🟡 https://t.me/datasets1