This is a simple dataset to start with. It contains only the height (inches) and weights (pounds) of 25,000 different humans of 18 years of age. This dataset can be used to build a model that can predict the heights or weights of a human.
7.1 Data Link: Heights & weights dataset
7.2 Data Science Project Idea: Build a predictive model for determining height or weight of a person. Implement a linear regression model that will be used for predicting height or weight.
8. Parkinson Dataset
Parkinson is a nervous system disorder that affects movement. The dataset contains 195 records of people with 23 different attributes which contain biomedical measurements. The data is used to separate healthy people from people with Parkinson’s disease.
8.1 Data Link: Parkinson dataset
8.2 Data Science Project Idea: The model can be used to differentiate healthy people from people having Parkinson’s disease. The algorithm that is useful for this purpose is XGboost which stands for extreme gradient boosting, it is based on decision trees.
9. Titanic Dataset
On 15 April 1912, the unsinkable Titanic ship sank and killed 1502 passengers out of 2224. The dataset contains information like name, age, sex, number of siblings aboard, etc of about 891 passengers in the training set and 418 passengers in the testing set.
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