Moses Kayanda Feb 25, 2023

I had the privilege of reading the reviewers copy of the book and I can say this is a very detailed guide from kaggle grandmasters. To be honest, I have only used Kaggle for school work back when I went to college but this has renewed my interest to use it more often to sharpen my skills.The book provides real life case studies on how to approach and solve various machine learning competitions. It covers four different competitions, each with its unique challenges and datasets. It looks like you will benefit more if you also get Kaggle Book as the authors refer a lot of materials and exercises in that book.The exercises cover tabular, time-series, vision and NLP problems. You will go in great details how to properly implement lightGBM, denoise autoencoders and how effectively blend different models to improve your performance, True what they say, just learn gradient descent. I particularly like how in the vision competition they have done a good job of how to build a complete pipeline for image classification.Winning kaggle competitions aside, the authors provide a lot of valuable knowledge that is worth buying the book. I would definitely give it a 10/10 and look into getting the Kaggle Book as well.

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F. P. Apr 09, 2023

Thanks to an invite from Packt and Monika Sangwan, I have had the opportunity to review "The Kaggle Workbook" by Konrad Banachewicz and Luca Massaron.This book is a comprehensive and practical guide for data science enthusiasts who want to enhance their skills on Kaggle, the world's largest community of data scientists and machine learning practitioners. It covers competitions in four types of data - tabular, time-series, image, and text.One of the key strengths of the book is its practical approach. Each chapter is structured in a way that mirrors how one would approach a Kaggle competition, from understanding the data and competition metrics to the winning approach. Additionally, the authors provide clear explanations of key concepts, making it accessible to beginners while still providing valuable insights for more experienced data scientists.There are several best uses for this book:- Before reading the book, attempt the competition with your proposed approach and compare the winning approach in the book with your proposed approach.- Understand the overall approach in each chapter (competition) and see if you can replicate it in a similar competition/work project for a quick baseline.- Keep the winning tricks in your back pocket and use them whenever appropriate.Overall, "The Kaggle Workbook" is a valuable resource for anyone looking to improve their data science skills and compete on Kaggle. Its practical approach, clear explanations, and focus on real-world strategies make it a must-read for both beginners and experienced data scientists alike.Great job, Konrad Banachewicz and Luca Massaron!

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Om S Mar 01, 2023

The Kaggle Workbook is an excellent resource for anyone interested in data science and machine learning competitions. Written by two Kaggle Grandmasters, it provides a practical, hands-on approach to learning by providing four extensive case studies based on past Kaggle competitions. The book offers a curated selection of exercises to help you improve your data science skillset and take your modeling to the next level.The case studies in the book cover a range of topics, including time-series forecasting, computer vision, and natural language processing. The authors offer a deeper insight into NLP and how it can help you solve unlikely challenges, while also exploring different solutions for identifying the type of disease present on cassava leaves.The book is suitable for both novices and experts alike, as it provides a supplement to The Kaggle Book or can be used on its own alongside resources available on the Kaggle website and other online communities. It challenges readers to become better data scientists by combining different methods to create better solutions.Overall, The Kaggle Workbook is an excellent resource for anyone interested in data science and machine learning competitions. It is well-structured and provides clear, concise explanations of the case studies, making it easy to follow even for those new to Kaggle. Anyone looking to improve their skills in data science and secure jobs with tech giants will find this book helpful.

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D. coxon Feb 24, 2023

As an IT manager, data analysis/science and machine learning has become a bigger and bigger part of my job over the last decade. During this time i've studies dozen of online course and I’ve spend a lot of time testing my new found skills with contests and engaging with the data science communitity on Kaggle.In my opinion Kaggle is one the best way to empower yourself and learn advanced techniques in machine learning and analytics, while having a lot of fun. It was great to find a book that unlocks so many insights into how the most successful Kagglers achive top scores.Written by Kaggle Grandmasters Konrad Banachewicz Luca Massaron, the book dissects four of the more famous Kaggle contests, discussing how to approach each problem, explaining how to build baseline models, and developed those ideas until they become advanced solutions. It then goes on to look at the lessons that can be learnt from the top entries for each of the competitions.I particularly liked the writing style of the book, which was a very easy read. Packed with background information on the various statistical principles behind each of the models. Even the code element were easy to follow (or skim through) with the step by step explanations what was needed at each stage.All of the code from the books is downloadable and there are links throughout the book to further reading and additional notebooks that you might find useful, as well as links to online documentation on the various libraries, modules and datasets referred to in the book. I have to say when the authors go to this level of effort to provide you with everything you need, it really takes the effort out of self learning.In summary if you’re looking to enter your first Kaggle competition or if you're begun your journey to becoming a grandmaster, the Kaggle workbook will provide the insights you need to quickly start moving up the leader board.

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Artgor Jun 02, 2023

Kaggle is an abundant source of knowledge, but compiling and structuring all the information it offers can pose a challenge. This book offers an effective solution by providing walkthroughs for four popular competitions.The first one addresses a tabular classification problem. The authors share insights into data exploration and modeling, including an in-depth presentation of the renowned denoising autoencoder solution.The second competition focuses on time-series data. The authors don't only share detailed code and explanations for reproducing a top-scoring solution, they also include an interview with one of the competition winners, providing a unique and insightful perspective.The third competition is centered on an image classification task. The book provides a comprehensive Keras solution with numerous suggestions for its improvement.The last competition covered is an NLP challenge, with a PyTorch solution provided.All in all, this is an exceptional and practical book, I enjoyed reading it. I would definitely recommend beginners to work through it.

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The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions

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