Conducted an extensive evaluation of 9+ machine learning algorithms and techniques to optimize household income prediction. Achieved a remarkable 90% prediction accuracy using a Neural Network model, showcasing proficiency in data analysis and modeling.
- Machine learning
- Python
- Jupiter
- Streamlit
- Neural network
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