[Pdf/ePub] The Kaggle Book: Data analysis and

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

The Kaggle Book: Data analysis and machine learning for competitive data science

Google book download online 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

Python Data Science Handbook - 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 
I never imagined I'd be Kaggle Grandmaster in a year: Karnika
Analytics India Magazine got in touch with Karnika to understand her Kaggle from data, said Kaggle Notebooks Grandmaster Karnika Kapoor.
Best Practical Machine Learning Books - Kaggle
Introduction to Machine Learning with Python_ A Guide for Data Scientists by Andreas C. Müller and Sarah Guido. You'll learn the steps necessary to create a 
What is the best book of machine learning? - Kaggle
The second chapter "End-to-end Machine Learning Project" is absolutely awesome for real world data science problems (especially for juniors), 
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 
A Summary of My Experience with Kaggle Competitions Over
As a data science enthusiast, I have tried many different things to boost my knowledge and experience. Reading weekly machine learning papers for a year, 

Download more ebooks: [Kindle] BREVIARIO ANTIPEDAGOGISTA descargar gratis pdf, [PDF] Braiding Sweetgrass for Young Adults: Indigenous Wisdom, Scientific Knowledge, and the Teachings of Plants by Robin Wall Kimmerer, Nicole Neidhardt, Monique Gray Smith, Robin Wall Kimmerer, Nicole Neidhardt, Monique Gray Smith link, PDF EPUB Download Self-Care for Adult Children of Emotionally Immature Parents: Honor Your Emotions, Nurture Your Self, and Live with Confidence by Full Book link, [PDF] LA HIJA DE LA ESPAÑOLA descargar gratis here,