Supervised Learning on Classification

Task

Using a dataset with 48,000 entries and 400+ variables to predict answers to the question "How important is religion in your life?"

Results

• Fine-tuned XGBoost and neural network models to predict responses to the question, ‘How important is religion in your life?’; explored model stacking.
• Preprocessed data using variable standardization, one-hot encoding, etc.
• Fine-tuned a random forest model to identify key predictive features.

Side Notes

• This was a team project (team of 3)
• Code need further clean up