The Kaggle Book: Data analysis and machine
The Kaggle Book: Data analysis and machine learning for competitive data science. Konrad Banachewicz, Luca Massaron, Anthony Goldbloom
The-Kaggle-Book-Data-analysis.pdf
ISBN: 9781801817479 | 428 pages | 11 Mb
- The Kaggle Book: Data analysis and machine learning for competitive data science
- Konrad Banachewicz, Luca Massaron, Anthony Goldbloom
- Page: 428
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781801817479
- Publisher: Packt Publishing
Ebook it free download The Kaggle Book: Data analysis and machine learning for competitive data science
Get a step ahead of your competitors with a concise collection of smart data handling and modeling techniques Learn how Kaggle works and how to make the most of competitions from two expert Kagglers Sharpen your modeling skills with ensembling, feature engineering, adversarial validation, AutoML, transfer learning, and techniques for parameter tuning Discover tips, tricks, and best practices for winning on Kaggle and becoming a better data scientist 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 the rest of the community, and gain valuable experience to help grow your career. The first book of its kind, Data Analysis and Machine Learning with Kaggle assembles the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two masters of Kaggle walk you through modeling strategies you won't easily find elsewhere, and the tacit knowledge they've accumulated along the way. As well as Kaggle-specific tips, you'll learn more general techniques for approaching tasks based on image data, tabular data, textual data, and reinforcement learning. You'll design better validation schemes and work more comfortably with different evaluation metrics. Whether you want to climb the ranks of Kaggle, build some more data science skills, or improve the accuracy of your existing models, this book is for you. Get acquainted with Kaggle and other competition platforms Make the most of Kaggle Notebooks, Datasets, and Discussion forums Understand different modeling tasks including binary and multi-class classification, object detection, NLP (Natural Language Processing), and time series Design good validation schemes, learning about k-fold, probabilistic, and adversarial validation Get to grips with evaluation metrics including MSE and its variants, precision and recall, IoU, mean average precision at k, as well as never-before-seen metrics Handle simulation and optimization competitions on Kaggle Create a portfolio of projects and ideas to get further in your career This book is suitable for Kaggle users and data analysts/scientists of all experience levels who are trying to do better in Kaggle competitions and secure jobs with tech giants. Introducing Data Science competitions Organizing Data with Datasets Working and learning with kaggle notebooks Leveraging Discussion forums Detailing competition tasks and metrics Designing good validation schemes Ensembling and stacking solutions Modelling for tabular competitions Modeling for image classification and segmentation Modeling for Natural Language Processing Handling simulation and optimization competitions Creating your portfolio of projects and ideas Finding new professional opportunities
Book Repository for Data Scientists (Part I) - Kaggle
Fundamentals; Network Analysis; Statistics; Data Mining; Machine Learning. Data Science Application. Data Visualization. Uncategorized; MOOCs about Data
The Kaggle Book - Fnac
Précommandez The Kaggle Book à la Fnac, un marchand français. (Auteur) Anthony Goldbloom Data analysis and machine learning for competitive data science
Top 5 Open Data Science Competitions with Cash Prizes
Participating in Data Science, Machine Learning and AI competitions is a Overview: In this competition, you're challenged to use this new dataset to
Winning Tips on Machine Learning Competitions by
Winning Tips on Machine Learning Competitions by Kazanova, Current Kaggle #3 Which are the most useful python libraries for a data scientist ?
Free O'Reilly Books pdf for Data Science - Kaggle
Try your best at a competition of your choice from Kaggle. Use Kaggle Learn as a helpful guide. Month 2 - Machine Learning The math of Machine Learning Cheat
The Kaggle Book: Data analysis and machine learning for
Amazon.com: The Kaggle Book: Data analysis and machine learning for competitive data science: 9781801817479: Konrad Banachewicz, Luca Massaron: Books.
Data Analysis and Machine Learning with Kaggle - Packt
2. Introducing data science competitions · The rise of data science competition platforms · Kaggle competition platform ; 3. Organizing Data with Datasets.
Top 12 free Handbooks about Data Science / AI - Kaggle
You can find here the most impactful literature, free tutorials/books in the fields of Artificial intelligence (AI), statistical modeling, Machine Learning (ML)
Kaggle for Beginners: with Kernel Code Kindle Edition
Amazon.com: Kaggle for Beginners: with Kernel Code eBook : Usmani, The Kaggle Book: Data analysis and machine learning for competitive data science.
11 Data Science Competitions for you to hone your skills for
Kaggle enables data scientists and other developers and to host This will be a team machine learning competition, divided into two
Top Competitive Data Science Platforms other than Kaggle
Either find some real-world problems in your area of interest or participate in Hackathons and Machine learning Competitions. Competitive Data Science is
Data analysis and feature extraction with Python | Kaggle
Explore and run machine learning code with Kaggle Notebooks | Using data from Titanic - Machine Learning from Disaster.
Data Analysis and Machine Learning with - DOKUMEN.PUB
Get a step ahead of your competitors with a concise collection of smart data handling and modeling techniques Key Featur
Google: Machine Learning Crash Course | Data Science and
Try your best at a competition of your choice from Kaggle. Use Kaggle Learn as a helpful guide. Month 2 - Machine Learning The math of Machine Learning Cheat
Download more ebooks:
Read [Pdf]> How a King Plays: 64 Chess Tips from a Kid Champion by Oliver Boydell
Descargar [PDF] {EPUB} DEMASIADO PITUCO
Descargar [PDF] {EPUB} SUCEDIÓ UN VERANO
Descargar ebook EL CUENTO PERDIDO (PREMIO NACIONAL DE LAS LETRAS 2022) | Descarga Libros Gratis (PDF - EPUB)
UN DUELO CON EL LORD DE LOS VAMPIROS ELISE KOVA ePub gratis
[Pdf/ePub] Destination; Remarkable.: Surviving the Dark Side of Success by Mary Grothe download ebook
[PDF] Why A Manager Needs ? Reasoning Ability to Succeed? download
[PDF] Ikigai - Vintage by Francesc Miralles, Héctor García
Descargar INDIGNO DE SER HUMANO OSAMU DAZAI Gratis - EPUB, PDF y MOBI
[ePub] HEARTSTOPPER 1. NOI CONEIX NOI
(edición en catalán) descargar gratis
Read online: Français - Epreuve écrite d'admissibilité CRPE