Build Recommendation System
Define the recommendation problem
Select a suitable dataset
Perform exploratory data analysis
Design the data preprocessing pipeline
Implement a baseline model
Develop a collaborative filtering engine
Engineer item features for content-based filtering
Integrate a hybrid recommendation approach
Evaluate model performance
Train Object Detection
Define detection objectives
Audit existing datasets
Set up development environment
Curate and preprocess images
Annotate custom data
Select model architecture
Implement data loading pipeline
Configure training hyperparameters
Execute model training