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10 Free Datasets to start building your Portfolio
Bài cuối 02-13-2023 03:04 PM của chucnv. 0 trả lời.
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02-13-2023 03:04 PM
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chucnv
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10 Free Datasets to start building your Portfolio
10 Free Datasets to start building your Portfolio
You can use these datasets to perform Data Cleaning, Exploratory Data Analysis (EDA), Forecasting, create Visualizations/Dashboard, identify insights, etc, and add these projects to your portfolio.
1.Supermarket Sales
https://lnkd.in/e86UpCMv
Historical record of sales data in 3 different supermarkets
2.Credit Card Fraud Detection
https://lnkd.in/eFTsZDCW
Anonymized credit card transactions labeled as fraudulent or genuine
3.FIFA 22 complete player dataset
https://lnkd.in/eDScdUUM
The datasets provided include the players data for the Career Mode from FIFA 15 to FIFA 22. The data allows multiple comparisons for the same players across the last 8 version of the videogame
4.Walmart Store Sales Forecasting
https://lnkd.in/eVT6h-CT
Use historical markdown data to predict store sales
5.Netflix Movies and TV Shows
https://lnkd.in/eZ3cduwK
Listings of movies and tv shows on Netflix - Regularly Updated
6.LinkedIn Data Analyst jobs listings
https://lnkd.in/ezqxcmrE
More than 8400 rows of data analyst jobs from USA, Canada and Africa.
7.Top 50 Fast-Food Chains in USA
https://lnkd.in/esBjf5u4
The key features of this Dataset are - Fast-Food Chains, U.S. Systemwide Sales (Millions - U.S Dollars), Average Sales per Unit (Thousands - U.S Dollars), Franchised Stores, Company Stores, 2021 Total Units, Total Change in Units from 2020.
8.Amazon and Best Buy Electronics
https://lnkd.in/e4fBZvJ3
This is a list of over 7,000 online reviews for 50 electronic products from websites like Amazon and Best Buy provided by Datafiniti's Product Database. The dataset includes the review date, source, rating, title, reviewer metadata, and more.
9.Forecasting Book Sales
https://lnkd.in/eXHN2XsQ
Forecast sales of 8 book titles in 2418 locations
10.Real / Fake Job Posting Prediction
https://lnkd.in/e5SDDW9G
This dataset contains 18K job descriptions out of which about 800 are fake. The data consists of both textual information and meta-information about the jobs. The dataset can be used to create classification models which can learn the job descriptions which are fraudulent.
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