📦 Datasets name: Netflix stock price data for 2023-24.


💬Netflix's stock prices, spanning from 2023 to 2024. It is an invaluable resource for data analysts and financial experts, enabling them to perform regression analysis, predict future trends, and create insightful data visualizations. With this dataset, users can gain a deeper understanding of how Netflix's stock prices over time, and use this knowledge to make informed decisions about investments and financial strategies.


⚙ Format: CSV file

🔐 From: Kaggle


🟢 https://t.me/datasets1

📦 Datasets name: British Airways Review Dataset(2012-2023)


💬Skytrax dataset for British airways


⚙ Format: CSV file

🔐 From: Kaggle


🟢 https://t.me/datasets1

📦 Datasets name: Breast Cancer Dataset [Wisconsin Diagnostic UCI]

💬Predict Breast Cancer with ML: A guide to the Wisconsin Diagnostic Dataset - Breast cancer is when breast cells mutate and become cancerous cells that multiply and form tumors. It accounts for 25% of all cancer cases and affected over 2.1 Million people in 2015 alone. Breast cancer typically affects women and people assigned female at birth (AFAB) age 50 and older, but it can also affect men and people assigned male at birth (AMAB), as well as younger women. Healthcare providers may treat breast cancer with surgery to remove tumors or treatment to kill cancerous cells.
Features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present in the image.



⚙ Format: CSV file

🔐 From: Kaggle

🟢 https://t.me/datasets1

📦 Datasets name: Brain Tumor Image DataSet : Semantic Segmentation

💬The Tumor Segmentation Dataset is designed specifically for the TumorSeg Computer Vision Project, which focuses on Semantic Segmentation. The project aims to identify tumor regions accurately within Medical Images using advanced techniques.

⚙ Format: Images files

🔐 From: Kaggle

🟢 https://t.me/datasets1

📦 Datasets name: Heart Disease

💬 This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4. Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0). The names and social security numbers of the patients were recently removed from the database, replaced with dummy values. One file has been "processed", that one containing the Cleveland database. All four unprocessed files also exist in this directory. To see Test Costs (donated by Peter Turney), please see the folder "Costs"


🔐 From: UCI Machine Learning repository

🟢 https://t.me/datasets1

📦 Datasets name: Dry Bean Dataset


💬 Seven different types of dry beans were used in this research, taking into account the features such as form, shape, type, and ...

🔐 From: UCI Machine Learning repository

#Biology #Classification

🟢 https://t.me/datasets1

📦 Datasets name: Adult


💬 Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE>16) && (AGI>100) && (AFNLWGT>1)&& (HRSWK>0))
Prediction task is to determine whether a person makes over 50K a year.

🔐 From: UCI Machine Learning repository

#Social_Science #Classification

🟢 https://t.me/datasets1

🇷 🇪 🇦 🇨 🇹 🇵 🇱 🇪 🇦 🇸 🇪

📦 Datasets name: Top Songs of the World

💬 "Top Songs of the World" is a collection of information about popular songs spanning various decades and genres. The dataset includes details such as the ranking of songs, the respective artists, titles, release years, sales figures, streaming statistics, download counts, radio play metrics, and a numerical rating. This dataset provides insights into the commercial success, digital presence, and overall popularity of each song, offering a comprehensive overview of the music industry's landscape over time. Researchers, analysts, and music enthusiasts can utilize this dataset to explore trends, patterns, and correlations within the context of the featured songs and artists.



⚙ Format: CSV file

🔐 From: Kaggle

🟢 https://t.me/datasets1

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