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
Ebook french download The Kaggle Book: Data analysis and machine learning for competitive data science English version
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
8 Best Books on Data Science with Python You Must - Kaggle
Python has a wide variety of data analysis and data science libraries- pandas, NumPy, SciPy, StatsModels, and scikit-learn. Due to its amazing features,
Solving Machine Learning Problems On Kaggle Vs Real Life
Hackathon platforms like Kaggle, MachineHack, etc., have emerged as testbeds for many machine learning and data science professionals.
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 ?
Crowdsourcing Data Science - ScholarSpace
Crowdsourcing Data Science: A Qualitative Analysis of Organizations' Usage of Kaggle Competitions related to machine learning and therefore artificial.
How to use Kaggle to Master Data Science
Kaggle is one of the world's largest community of data scientists and machine learning specialists. This platform is home to more than 1
You need to check out these resources to learn ML - Kaggle
Try your best at a competition of your choice from Kaggle. It contains links to Machine Learning & Data Science Courses, books, Practice Papers,
Kaggle: Your Machine Learning and Data Science Community
Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.
which is best book to start exploratory data analysis python????
Instead a book , I would like to recommend you starting with some EDA kernels in kaggle which are free and awesome detailed ! Python EDA for NLP problems:
Best data science books 2020 - Kaggle
The 3 Books Titles 1. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython · 2. Hands-On Machine Learning with Scikit-Learn, Keras,
Complete Data Science Roadmap by Datacamp - Kaggle
It contains links to Machine Learning & Data Science Courses, books, Practice Papers, You will learn how to prepare data for analysis, perform simple
How to Win Kaggle Competitions | Data Science and Machine
The second winning approach on Kaggle is neural networks and deep learning. If you are dealing with a dataset that contains speech problems and image-rich
The Beginner's Guide to Kaggle | Data Science and Machine
Each competition has its own discussion board and debriefs with the winners. It contains links to Machine Learning & Data Science Courses, books,
Start Here: A Gentle Introduction | Kaggle
Explore and run machine learning code with Kaggle Notebooks | Using data from of this competition is to use historical loan application data to predict
Links: Descargar LA CONTRAHISTORIA DEL COMUNISMO FERNANDO DIAZ VILLANUEVA Gratis - EPUB, PDF y MOBI download link, Download Pdf The Barcelona Complex: Lionel Messi and the Making--and Unmaking--of the World's Greatest Soccer Club by read book, [PDF] Across the Battlefield: A Pawn's Journey by Jonathan Ferry, Caroline Zina, Jonathan Ferry, Caroline Zina site, {epub download} The Biggest Story Bible Storybook by Kevin DeYoung, Don Clark download link, {pdf download} La forêt-jardin - Créer une forêt comestible en permaculture pour retrouver autonomie et abondance link,
0コメント