DOWNLOAD [PDF] {EPUB} The Kaggle Book: Data

The Kaggle Book: Data analysis and machine learning for competitive data science by Konrad Banachewicz, Luca Massaron, Anthony Goldbloom

• The Kaggle Book: Data analysis and machine learning for competitive data science
• Konrad Banachewicz, Luca Massaron, Anthony Goldbloom
• Page: 428
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781801817479
• Publisher: Packt Publishing

Download eBook

Download textbooks to computer The Kaggle Book: Data analysis and machine learning for competitive data science 9781801817479 by Konrad Banachewicz, Luca Massaron, Anthony Goldbloom

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

Data Science and Machine Learning | Kaggle
Books: Fundamentals of Data Visualization by Claus O. Wilke; Visualization with Matplotlib by Jake VanderPlas. Blogs: Exploratory data analysis · EDA with 
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 
Free Data Science Books by Springer - Kaggle
Free Data Science Books by Springer. Statistics and Data Analysis for Financial Engineering An Introduction to Machine Learning Miroslav Kubat
ULTIMATE List of Youtube Channels for Data Science!!! - Kaggle
Week 3 Data Pre-processing, Data Visualization, Exploratory Data Analysis It contains links to Machine Learning & Data Science Courses, books, 
Free Data Science Books for Beginner to Advanced - Kaggle
Getting Started · 1. Python Data Science Handbook · 2. Applied Data Science · 3. The Statistical Inference for Data Science · 4. Mathematics for Machine Learning · 5 
Andrew NG's Notes! 100 Pages pdf + Visual Notes! [3rd Update]
Andrew NG's Deep Learning Course Notes in a single pdf! It contains links to Machine Learning & Data Science Courses, books, Practice Papers, Interview, 
I need your help! I am going to buy a new book - Kaggle
Do you think to learning Data Analysis and Machine Learning this book is good I highly recommend to read Python Data Science Handbook by Jake VanderPlas

More eBooks: [PDF/Kindle] Réparer le monde - La littérature française face au XXIe siècle by Alexandre Gefen download link, [Pdf/ePub] El tatuador de Auschwitz by Heather Morris download ebook pdf, DOWNLOAD [PDF] {EPUB} Lonely Planet Rajasthan, Delhi & Agra by Lonely Planet, Lindsay Brown, Joe Bindloss, Bradley Mayhew, Daniel McCrohan read book, [PDF] Yoga download site,