- Preprocessed and explored Walmart shopping trip dataset with more than 6.5 lakh records and 10+ features.
- Implemented diverse machine learning algorithms including decision trees, random forests, and multinomial logistic regression using scikit-learn.
- Attained an accuracy of 80.56% on trip type classification, outperforming baseline model.
Kaggle Dataset Used: Link
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