heart+disease.zip
125.9 KB
๐ฆ Datasets name: Heart Disease
๐ฌ 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"
๐ From: UCI Machine Learning repository
๐ข https://t.me/datasets1
๐ฌ 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"
๐ From: UCI Machine Learning repository
๐ข https://t.me/datasets1
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dry+bean+dataset.zip
4.5 MB
๐ฆ Datasets name: Dry Bean Dataset
๐ฌ Seven different types of dry beans were used in this research, taking into account the features such as form, shape, type, and ...
๐ From: UCI Machine Learning repository
#Biology #Classification
๐ข https://t.me/datasets1
๐ฌ Seven different types of dry beans were used in this research, taking into account the features such as form, shape, type, and ...
๐ From: UCI Machine Learning repository
#Biology #Classification
๐ข https://t.me/datasets1
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adult.zip
605.7 KB
๐ฆ Datasets name: Adult
๐ฌ 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.
๐ From: UCI Machine Learning repository
#Social_Science #Classification
๐ข https://t.me/datasets1
๐ฌ 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.
๐ From: UCI Machine Learning repository
#Social_Science #Classification
๐ข https://t.me/datasets1
๐33โค5โคโ๐ฅ1๐ฅ1๐ค1
TopSongs.zip
436.2 KB
๐ฆ Datasets name: Top Songs of the World
๐ฌ "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.
โ Format: CSV file
๐ From: Kaggle
๐ข https://t.me/datasets1
๐ฌ "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.
โ Format: CSV file
๐ From: Kaggle
๐ข https://t.me/datasets1
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Spotify's Greatest.zip
345.4 KB
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Road accidents .zip
42.6 MB
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COVID-19 Global Statistics .zip
10.4 KB
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Diabetes Dataset.zip
8.9 KB
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Drug overdose death (1).zip
582 B
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Household Power Consumption.zip
9.1 MB
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ZARA Sales .zip
16.8 KB
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gemma-rewrite-nbroad.zip
3.7 MB
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Top Classical Composers.zip
3.7 KB
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Diabetes.zip
17.5 KB
๐ฆ Datasets name: Diabetes
๐น 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.
๐ Format: CSV file
๐ From: Kaggle
๐ https://t.me/datasets1
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Bank Customer Complaint Analysis.zip
20 MB
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Movies Youtube.zip
95.5 KB
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.
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Anime Dataset.zip
216.6 MB
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.
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Cars Data.zip
1.2 MB
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eCommerce Customer Service Satisfaction.zip
6.3 MB
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