This is a popular dataset used in pattern recognition. It contains information about the different houses in Boston based on crime rate, tax, number of rooms, etc. It has 506 rows and 14 different variables in columns. You can use this dataset to predict house prices.
4.1 Data Link: Boston dataset
4.2 Data Science Project Idea: Predict the housing prices of a new house using linear regression. Linear regression is used to predict values of unknown input when the data has some linear relationship between input and output variables.
5. Fake News Detection Dataset
It is a CSV file that has 7796 rows with 4 columns. The first column identifies news, second for the title, third for news text and fourth is the label TRUE or FAKE.
5.1 Data Link: Fake news detection dataset
5.2 Data Science Project Idea: Build a fake news detection model with Passive Aggressive Classifier algorithm. The Passive Aggressive algorithm can classify massive streams of data, it can be implemented quickly.
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