📦 Datasets name: COVID-19 Global Statistics Dataset


🔅 The COVID-19 Global Statistics Dataset offers comprehensive insights into the impact of the COVID-19 pandemic worldwide. It provides detailed statistics on COVID-19 cases, deaths, recoveries, testing, and demographic information across various countries and regions. Sourced from reliable sources, including government health departments and international organizations, this dataset serves as a valuable resource for researchers, policymakers, and public health experts to track the progression of the pandemic, analyze trends, and inform evidence-based decision-making.


⚙️ Format: CSV file

🔒 From: Kaggle


🟢 https://t.me/datasets1

📦 Datasets name: Diabetes Dataset


🔅 This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective is to predict based on diagnostic measurements whether a patient has diabetes.


🆗 Format: CSV file

🔐 From: Kaggle


👁 https://t.me/datasets1

📦 Datasets name: Drug overdose death


🔅 Annual number of deaths in the United States from drug overdose per 100,000 people. Overdoses can result from intentional excessive use of a substance, but can also result from 'poisoning' where substances have been altered or mixed, such that the user is unaware of the drug's potency.

📶 Format: CSV file

🔒 From: Kaggle


🙁 https://t.me/datasets1

📦 Datasets name: Household Power Consumption


📶 Individual household electric power consumption dataset collected via submeters placed in 3 distinct areas of a home.

🗣 Format: CSV file

🔒 From: Kaggle


🙁 https://t.me/datasets1

📦 Datasets name: ZARA Sales


📶 This Zara sales dataset contains information about product sales from Zara stores over a specific period of time. The dataset includes various attributes relevant to sales, such as product ID, product name, product category, price, sales volume, sales date, and store location. This data can be used to analyze product sales trends, sales performance across different product categories, the effectiveness of promotions, customer purchasing patterns, and other factors that influence Zara's sales performance. Analyzing this dataset can provide valuable insights for Zara management in optimizing marketing strategies, inventory management, and other decision-making processes to enhance revenue and profitability.

🌐 Format: CSV file

🛡️ From: Kaggle


🙁 https://t.me/datasets1

📦 Datasets name: gemma rewrite nbroad


☯️ 2k+ essays rewritten by gemma. Generation done using gemma-7b-it on A100 in bfloat16 using TGI


🌐 Format: CSV file

🔒 From: Kaggle

😑 https://t.me/datasets1

📦 Datasets name: Top Classical Composers


🌹 This dataset contains a comprehensive list of the most famous classical composers. The dataset provides insights into the composers details such as their best piece and the duration of that piece. The dataset includes information such as composers name, nationality, birth year, death year , their most famous works, and the duration of their famous piece.


🌐 Format: CSV file

🔒 From: Kaggle

😕 https://t.me/datasets1

📦 Datasets name: Diabetes


🌹 The Diabetes Dataset contains information about individuals diagnosed with diabetes, including demographic attributes, medical history, and clinical measurements. This dataset serves as a valuable resource for studying diabetes management, risk factors, and predictive modeling for disease outcomes.


🌐 Format: CSV file

🔒 From: Kaggle

👉 https://t.me/datasets1

📦 Datasets name: Bank Customer Complaint Analysis


🌸 The objective of this internship project is to develop an NLP model for bank customer complaint analysis to classify complaints into predefined categories based on their textual narratives. By automating the classification process, the project aims to improve efficiency in dispute resolution and enhance customer satisfaction by ensuring timely and accurate handling of complaints .


🌐 Format: CSV file

🔒 From: Kaggle

🤨 https://t.me/datasets1

📦 Datasets name: Movies Youtube Trailers & Sentiment


🌹This dataset is a result of CinemaFuture, a machine learning project focused on predicting the potential success of films. This ML project aims to revolutionize the film industry by providing data-driven insights into what factors contribute to a film's success.

Utilizing comprehensive data encompassing box office earnings, budgets, cast and crew information, genres, release dates, audience ratings, and social media trends, this tool applies advanced feature engineering and machine learning algorithms to predict outcomes. Additionally, this application scrapes YouTube comments from upcoming movies' trailers and conducts sentiment analysis to predict public hype for a movie. Whether it's estimating box office revenue or categorizing a film as a potential hit or flop, the AI-Powered Film Success Predictor offers valuable predictions and insights.


🌐 Format: CSV file

🔒 From: Kaggle

🟡 https://t.me/datasets1

📦 Datasets name: Anime Dataset

🌹The dataset contains 3 files:

animes.csv contains list of anime, with title, title synonyms, genre, duration, rank, populatiry, score, airing date, episodes and many other important data about individual anime providing sufficient information about trends in time about important aspects of anime. Rank is in float format in csv, but it contains only integer value. This is due to NaN values and their representation in pandas.

profiles.csv contains information about users who watch anime, namely username, birth date, gender, and favorite animes list.

reviews.csv contains information about reviews users x animes, with text review and scores.


🌐 Format: CSV file

🔒 From: Kaggle

🟡 https://t.me/datasets1

📦 Datasets name: Cars Data

🌹 a collection of over 90,000 used cars spanning from the year 1970 to 2024. This dataset offers a comprehensive glimpse into the world of automobiles, providing valuable insights for researchers, enthusiasts, and industry professionals alike.


🌐 Format: CSV file

🔒 From: Kaggle

⏺ https://t.me/datasets1

🫰Datasets name: eCommerce Customer Service Satisfaction

😍 The dataset captures customer satisfaction scores for a one-month period at an e-commerce platform called Shopzilla (a pseudonym). It includes various features such as category and sub-category of interaction, customer remarks, survey response date, category, item price, agent details (name, supervisor, manager), and CSAT score etc.


😏 Format: CSV file

😍 From: Kaggle

😘 https://t.me/datasets1

📦 Datasets name: Eye-dataset

🌹The image data was gathered for automating an wheelchair. It can controlled by direction given by eye.
The image dataset consists of four folder and comprising a total of 14.5k images.
The images in the dataset are regularized and augmented so that we can achieve more than 96% accuracy on the first training session.


🌐 Format: Images file

🔒 From: Kaggle

🟡 https://t.me/datasets1

📦 Datasets name: Anemia Dataset

🔠Anemia dataset containing attributes Gender, Hemoglobin, MCHC, MCV, MCH and Results. This dataset is used to predict if a patient is likely to suffer from anemia. Machine learning binary classifier algorithm to be used.

Gender: 0 - male, 1 - female
Hemoglobin: Hemoglobin is a protein in your red blood cells that carries oxygen to your body's organs and tissues and transports carbon dioxide from your organs and tissues back to your lungs
MCH: MCH is short for "mean corpuscular hemoglobin." It's the average amount in each of your red blood cells of a protein called hemoglobin, which carries oxygen around your body.
MCHC: MCHC stands for mean corpuscular hemoglobin concentration. It's a measure of the average concentration of hemoglobin inside a single red blood cell.
MCV: MCV stands for mean corpuscular volume. An MCV blood test measures the average size of your red blood cells.
Results: 0- not anemic, 1-anemic


🌐 Format: CSV file

🔒 From: Kaggle

🗣 https://t.me/datasets1

📦 Datasets name: London Underground Signals Passed at Danger


🌹 The number of signals passed at danger by London Underground or on London Underground's infrastructure.
The number of signals passed at danger are reported, with details of the line, location, date of occurrence, the delay (minutes) incurred to the service and a brief description of the incident.


🌐 Format: CSV file

🔒 From: London Datastore

🟡 https://t.me/datasets1

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📦 Datasets name: Economic Disparity


🌹 This data explorer offers various inequality indicators measured according to two distinct definitions of income sourced from different outlets.
Data from the World Inequality Database pertains to inequality prior to taxes and benefits.
Data from the World Bank pertains to either income post taxes and benefits or consumption, contingent on the country and year.
For additional details regarding the definitions and methodologies underlying this data, refer to the accompanying article below, where you can also delve into and juxtapose a broader spectrum of indicators from various sources.

🌐 Format: CSV file

🔒 From: Kaggle

🟡 https://t.me/datasets1

📦 Datasets name: Bitcoin price trends and technical indicators for Past 8 years


🌹 This dataset offers a detailed examination of Bitcoin's price behavior over the last eight years, featuring a range of technical indicators for analyzing its trends. It captures the daily opening, highest, lowest, and closing prices, along with trading volume. The dataset includes momentum indicators such as the 7-day and 14-day Relative Strength Index (RSI) to determine if the asset is overbought or oversold.


🌐 Format: CSV file

🔒 From: Kaggle

🟡 https://t.me/datasets1