Building a nearest-neighbor classifier to predict online shopping purchase completions based on user browsing behavior. The project uses a dataset of 12,000 sessions, analyzing features like pages visited, session duration, and bounce rates
python
machine-learning
ai
scikit-learn
specificity
classification
data-analysis
sensitivity
cs50
data-preprocessing
k-nearest-neighbors
customer-behavior-analysis
shopping-prediction
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Updated
Jul 29, 2024 - Python