Having a good portfolio of projects to look for vacancies in Data Science is a differential. And this is nothing new! But finding good public datasets can be challenging.
To help you, below is the list of 7 Public Datasets For Data Science Projects:
1- Australian Fatal Road Accident 1989-2021
This is a relatively new dataset whose objective is to classify the type of accident from the various resources available about the accident, such as time and day of the accident, vehicle speed, etc.
2- Campus Recruitment
With this dataset you can determine whether a candidate (student at an educational institution) will be hired by a company based on various features such as education, grades, and so on.
3- Heart Disease UCI
Dataset that can be used to predict the presence of heart disease in the patient based on a set of 76 different physiological attributes of each individual.
4- CelebFaces Attributes (CelebA) Dataset
A popular dataset with over 200,000 celebrity images that can be used to practice computer vision concepts in order to implement facial recognition.
5- Tesla Dataset
A stock price dataset for all Tesla fans and those who like to delve into the complexities of the financial industry.
6- Life Expectancy (WHO)
Excellent dataset to practice your exploratory data analysis skills.
7- Netflix Movies and TV Shows
Collection of movie and TV show details up to 2019, also great for some hands-on exposure to a real-world application.
David Matos
Other Data Sources:
5 Public Data Sources
Top 10 Open Datasets to Build a Data Science Project Portfolio