Online Shopping Prediction

An online shopping prediction model predicts whether a user will make a purchase based on their browsing session. Features include pages visited, time spent, bounce rates, visitor type, browser, region, and weekend activity. This helps optimize marketing and UI strategies.

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Online Shopping Prediction Model

This model uses session-based features to identify user intent. Data preprocessing, feature selection, and classification help improve accuracy and ROI.

Dynamic Pricing

Adjust prices in real-time using factors like demand, seasonality, and competitor pricing.

Predict

Fraud Detection

Identify suspicious activity in user behavior to prevent fraudulent transactions in real-time.

Predict