Build a Multi-Objective Recommender System

The goal of Build a multi-objective recommender system project is to predict e-commerce clicks, cart additions, and orders. In short, you will be creating a multi-objective recommender system based on previous events in a user session.

Upon completing the project, you will master:

  1. Data manipulation and analysis
  2. Understand sessions and events
  3. Data visualization and reporting
  4. Handling time series data
  5. Analyze time series data to explore user behavior
  6. Predict top clicks, carts, and orders

Build a multi-objective recommender system Project Image

Image from the project

Supporting Your Team’s Growth with DataCamp for Business

While individual projects are essential for personal skill development, organizations also need to ensure their teams are well-equipped to handle the complexities of data analytics. DataCamp for Business offers tailored solutions that help companies upskill their employees in data science, analytics, and machine learning. With access to a vast library of interactive courses, custom learning tracks, and real-world projects, teams can advance their skills in data ingestion, cleaning, manipulation, visualization, and predictive analytics—all key areas highlighted in this blog.

Whether you’re a small startup or a large enterprise, DataCamp for Business provides the tools to upskill, reskill, and create a data-driven culture to stay competitive in today’s market. You can request a demo today to learn more.

Conclusion

After learning essential skills, you need to build a strong portfolio to showcase your knowledge. Furthermore, you will be learning new tools, features, and concepts that are beneficial for your professional life.

In this post, we have learned about beginner-friendly projects, advanced projects, final-year student projects, and end-to-end data analytics projects. Moreover, we have covered projects on data ingestion and cleaning, probability and statistics, data manipulation and visualization, and exploratory data and predictive analysis.

So, what’s next? After completing at least 12 projects, try to Get certified as a Professional Data Analyst. It will increase your odds of getting hired. You can also check out our post on how to become a data analyst for more career tips.