Guess-My-Income

Guessing Income Based On 15 Parameters

About Dataset

• The dataset Contains 15 Columns and 48882 rows
• Out of 15 features 6 features are Continuos and 9 are Catagorial
• The Dataset is Highly Imbalanced

Problem

We need to predict income Based on a Dataset which is Highly Imbalanced

Solution Approach

We Applied SMOTE Upsampling And Near Miss DownSampling to address the issue

Balanced Data After Preproceesing

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Best Model

LGBM Mdoel Achieved a f1 Score of 65.154 %

Stack Used

• Numpy
• Pandas
• Scikit-Learn
• Matplotlib
• Seaborn
• Pickle

Workflow Diagram

Diagram.pdf

Install Libraries

Pandas

pip install pandas

Numpy

pip install numpy

Pickle

pip install pickle5

Scikit-learn

pip install scikit-learn

matplotlib

pip install matplotlib

Seaborn

pip install seaborn

Imblearn

pip install imblearn

Clone Repo

https://github.com/secrakib/Guess-My-Income.git

License

Apache License 2.0