Load sample dataset

Read example dataset to pandas DataFrame. Datasets are loaded from GitHub repository datasets-for-start, you need an internet connection to load them.

Binary classification datasets:

• Adult dataset - predict whether an individual's income exceeds $50K/year based on census data,
• Breast Cancer dataset - predict the presence of breast cancer based on various medical attributes.
• Credit Scoring dataset - predict the likelihood of a customer defaulting on a loan.
• Employee Attrition dataset - predict whether an employee will leave the company based on various factors.
• Pima Indians Diabetes - predict the onset of diabetes based on diagnostic measurements.
• SPECT dataset - predict heart disease based on SPECT imaging data.
• Titanic dataset - predict the survival of passengers based on various features such as age, gender, and class.

Multiclass classification datasets:

• Iris dataset - classify iris flowers into three different species based on their physical attributes,
• Wine dataset - classify wines into different categories based on their chemical properties.

Regression datasets:

• Housing dataset - predict housing prices based on various features of the houses,
• House prices dataset - predict the final price of homes based on various features and attributes.

# Python code will be here