Wanelo_rf.7z

Create vectors for users based on categories saved, price points, and interaction frequency.

What is the ? (e.g., recommend products, predict sales, or analyze user trends?) Wanelo_RF.7z

The model generates a ranked list of product IDs predicted to have the highest probability of being saved by that user. 4. Evaluation Create vectors for users based on categories saved,

Based on the filename "Wanelo_RF.7z," this appears to be an archive containing data related to (a former social shopping platform) likely for a Random Forest (RF) machine learning model . Develop an API endpoint (e

Train a RandomForestClassifier on user-product interaction features to predict future interaction.

Develop an API endpoint (e.g., /api/recommendations/ ) that fetches the trained model.

Develop a user-item matrix (e.g., user X saved product Y) to identify preferences [3]. 2. Modeling (Random Forest Approach)