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Phase 14 · Build Your Data Science Portfolio

Projects

Kaggle Competition Submission

Part of the Data Science Roadmap.

Summary

Competing on a real Kaggle dataset gives you a public, comparable benchmark for your modeling skills and exposes you to techniques from top-scoring public notebooks.

How to Learn This

  • 1Pick a beginner-friendly Kaggle competition and submit at least one full solution.
  • 2Read 2-3 top public notebooks after submitting to see what techniques you missed.
  • 3Document your leaderboard score and what you learned, even if it's not a top rank.

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End-to-End ML Project (Problem to Deployment)

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NLP Project (Sentiment / Text Classification)

More projects in Build Your Data Science Portfolio

End-to-End ML Project (Problem to Deployment)NLP Project (Sentiment / Text Classification)Time Series Forecasting ProjectComputer Vision ProjectBusiness Case Study With ML RecommendationPortfolio Website / GitHub Showcase
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