Konrad Banachewicz holds a PhD in statistics from Vrije Universiteit Amsterdam. His academic work focused on extreme dependency modeling in credit risk. In addition to his research activities, he was a tutor and supervised master's students. He transitioned from classical statistics to data mining and machine learning before “data science” became a buzzword.Over the next decade, he tackled quantitative analysis problems in various financial institutions, becoming an expert in the full life cycle of a data product. His work spanned high-frequency trading to credit risk, predicting potato prices, and analyzing anomalies in the performance of large-scale industrial equipment. He is a believer in knowledge sharing and also competes on Kaggle. Luca Massaron is a data scientist with over a decade of experience in transforming data into high-impact, innovative artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of numerous bestselling books on AI, machine learning, and algorithms. Luca is also a 3x Kaggle Grandmaster who reached number 7 in the worldwide user rankings for his performance in data science competitions. Additionally, he is recognized as a Google Developer Expert (GDE) in AI, Kaggle, and the cloud.

• Table of ContentsIntroducing Kaggle and Other Data Science CompetitionsOrganizing Data with DatasetsWorking and Learning with Kaggle NotebooksLeveraging Discussion ForumsCompetition Tasks and MetricsDesigning Good ValidationModeling for Tabular CompetitionsHyperparameter OptimizationEnsembling with Blending and Stacking SolutionsModeling for Computer VisionModeling for NLPSimulation and Optimization CompetitionsCreating Your Portfolio of Projects and IdeasFinding New Professional Opportunities

Konrad Banachewicz holds a PhD in statistics from Vrije Universiteit Amsterdam. His academic work focused on extreme dependency modeling in credit risk. In addition to his research activities, he was a tutor and supervised master's students. He transitioned from classical statistics to data mining and machine learning before “data science” became a buzzword.Over the next decade, he tackled quantitative analysis problems in various financial institutions, becoming an expert in the full life cycle of a data product. His work spanned high-frequency trading to credit risk, predicting potato prices, and analyzing anomalies in the performance of large-scale industrial equipment. He is a believer in knowledge sharing and also competes on Kaggle. Luca Massaron is a data scientist with over a decade of experience in transforming data into high-impact, innovative artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of numerous bestselling books on AI, machine learning, and algorithms. Luca is also a 3x Kaggle Grandmaster who reached number 7 in the worldwide user rankings for his performance in data science competitions. Additionally, he is recognized as a Google Developer Expert (GDE) in AI, Kaggle, and the cloud.

• Table of ContentsIntroducing Kaggle and Other Data Science CompetitionsOrganizing Data with DatasetsWorking and Learning with Kaggle NotebooksLeveraging Discussion ForumsCompetition Tasks and MetricsDesigning Good ValidationModeling for Tabular CompetitionsHyperparameter OptimizationEnsembling with Blending and Stacking SolutionsModeling for Computer VisionModeling for NLPSimulation and Optimization CompetitionsCreating Your Portfolio of Projects and IdeasFinding New Professional Opportunities

Konrad Banachewicz holds a PhD in statistics from Vrije Universiteit Amsterdam. His academic work focused on extreme dependency modeling in credit risk. In addition to his research activities, he was a tutor and supervised master's students. He transitioned from classical statistics to data mining and machine learning before “data science” became a buzzword.Over the next decade, he tackled quantitative analysis problems in various financial institutions, becoming an expert in the full life cycle of a data product. His work spanned high-frequency trading to credit risk, predicting potato prices, and analyzing anomalies in the performance of large-scale industrial equipment. He is a believer in knowledge sharing and also competes on Kaggle. Luca Massaron is a data scientist with over a decade of experience in transforming data into high-impact, innovative artifacts, solving real-world problems, and generating value for businesses and stakeholders. He is the author of numerous bestselling books on AI, machine learning, and algorithms. Luca is also a 3x Kaggle Grandmaster who reached number 7 in the worldwide user rankings for his performance in data science competitions. Additionally, he is recognized as a Google Developer Expert (GDE) in AI, Kaggle, and the cloud.

• Table of ContentsIntroducing Kaggle and Other Data Science CompetitionsOrganizing Data with DatasetsWorking and Learning with Kaggle NotebooksLeveraging Discussion ForumsCompetition Tasks and MetricsDesigning Good ValidationModeling for Tabular CompetitionsHyperparameter OptimizationEnsembling with Blending and Stacking SolutionsModeling for Computer VisionModeling for NLPSimulation and Optimization CompetitionsCreating Your Portfolio of Projects and IdeasFinding New Professional Opportunities