In this project, an MLP model is applied to solve a classification problem.

The dataset is from https://www.kaggle.com/carlolepelaars/toy-dataset.

A fictional dataset for exploratory data analysis (EDA) and to test simple prediction models. This toy dataset features 150000 rows and 6 columns.

• Note: All data is fictional. The data has been generated so that their distributions are convenient for statistical analysis.
• Number: A simple index number for each row
• City: The location of a person (Dallas, New York City, Los Angeles, Mountain View, Boston, Washington D.C., San Diego and Austin)
• Gender: Gender of a person (Male or Female)
• Age: The age of a person (Ranging from 25 to 65 years)
• Income: Annual income of a person (Ranging from -674 to 177175)
• Illness: Is the person Ill? (Yes or No)

• Pandas
• Scikit

python pipeline.py