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
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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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Eye-dataset.zip
100.5 MB
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.
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Don't you like the image data set, why is the reaction so low?
Anonymous Poll
91%
We like
9%
No, we don't like it
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