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income-predictor-model's Introduction

ML-Income-Predictor-Model

Created a machine learning model to predict whether the salary of a person is greater than 50K/yr or not. The dataset contains information about age, gender, occupation, education and workclass of over randomly generated 30,000 employees.

Process :

The initial stages of project involved a lot of data assessment and cleaning, performing EDA and drawing conclusion from the data. Trained a AdaBoost model to predict income with 85.44% accuracy score.

Technologies :

  • Python Libraries like Pandas, Numpy, Matplotlib, Seaborn for EDA
  • Sci-kit Learn and its fragmented modules for training the model
  • Jupyter Notebook

Sample Plots :

plot3

plot1

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income-predictor-model's People

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