The Kaggle Book

Konrad Banachewicz

Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle competitions is a surefire way to improve your data analysis skills, network with an amazing...

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Opening Credits

1/11/2023

Foreword and Contributors

1/11/2023

Preface

1/11/2023

Part 1: Introduction to Competitions

1/11/2023

Chapter 1: Introducing Kaggle and Other Data Science Competitions

1/11/2023

Chapter 2: Organizing Data with Datasets

1/11/2023

Chapter 3: Working and Learning with Kaggle Notebooks

1/11/2023

Chapter 4: Leveraging Discussion Forums

1/11/2023

Part 2: Sharpening Your Skills for Competitions

1/11/2023

Chapter 5: Competition Tasks and Metrics

1/11/2023

Chapter 6: Designing Good Validation

1/11/2023

Chapter 7: Modeling for Tabular Competitions

1/11/2023

Chapter 8: Hyperparameter Optimization

1/11/2023

Chapter 9: Ensembling with Blending and Stacking Solutions

1/11/2023

Chapter 10: Modeling for Computer Vision

1/11/2023

Chapter 11: Modeling for NLP

1/11/2023

Chapter 12: Simulation and Optimization Competitions

1/11/2023

Part 3: Leveraging Competitions for Your Career

1/11/2023

Chapter 13: Creating Your Portfolio of Projects and Ideas

1/11/2023

Chapter 14: Finding New Professional Opportunities

1/11/2023

Closing Credits

1/11/2023