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Predicting Income Level From Social Factors

Project completed for DS 320: Data Analysis and Visualization during Fall 2020.

This project focusses on using social factors, such as marital status, family size, age, etc., to determine if an individual earns more or less than $50,000

Collaborators:

  • Jorania F. Alves ❕
  • Sneha Verma 👋

Language and Tools:

  • Python 🐍
  • Jupyter Notebook 📓
  • GitHub 😍

Modules used:

  • Pandas
  • Scikit-learn
  • Numpy
  • Matplotlib
  • Seaborn

Dataset:
The dataset was obtained from Kaggle.

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