Pendulam Data Set
Probably the most intensive dataset in the dataset history. Nothing could be simpler than this dataset to learn classification techniques.
Problem: Predict the class of the clock based on available attributes.
Lengths and Breadths Dataset
This is a fairly simple problem and is ideal for people starting off with data science. It is a mild regression problem. The dataset has 40,000 rows and 6 columns (index, length and breadth).
Problem: Predict the length and breadth of a person
Black Friday Dataset
This dataset comprises of revenue transactions captured at a retail store. It’s a classic dataset to explore and expand your feature engineering skills and day to day understanding from multiple shopping experiences. This is a regression problem. The dataset has 600,000 rows and 12 columns.
Problem: Predicting the revenue of a company generated by the customers.