- This project involved analysing the US Income dataset and identifying factors that help in determining the income of an individual. Various data visualization techniques were utilized to determine the characteristics of the given dataset. Next, based on the analysis, features were identified that help in distinguishing the income of the individuals. Finally, an ML classifier was trained (with 80+ % accuracy) to predict the income of an individual
- Technologies Used: python, sklearn, matplotlib, jupyter
wayne-kong/Data-Visualization
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