Mon premier blog

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

German books download The Kaggle Book: Data analysis and machine learning for competitive data science in English

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

What are your favorite books to be a Hero in Data Science ?
Data Science and Machine Learning | Kaggle 
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, 
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
Books on ML, DS or Stats | Data Science and Machine Learning
We use cookies on Kaggle to deliver our services, analyze web traffic, and improve your experience on the site. By using Kaggle, you agree to our use of cookies 
Data Analysis and Machine Learning with Kaggle: How to win
Millions of data enthusiasts from around the world compete on Kaggle, the most famous data science competition platform of them all. Participating in Kaggle 
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 
Stuck at basic level in data science - Kaggle
Python for Developers, a complete book on Python programming by Ricardo Duarte. S. Olson, part of a collection in Data Analysis and Machine Learning.
Best Public Datasets for Machine Learning and Data Science
Best public datasets for machine learning, data science, sentiment analysis, computer vision, natural language processing (NLP), clinical data, and others.
️ Top 100 best data science books of all Time - Volume 1 ️
17 - Data Science for Beginners - This Book Includes: Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data 
Top Ten Kaggle Notebooks For Data Science Enthusiasts In
Accelerate Python* for data science and machine learning with oneAPI AI Analytics Toolkit 22nd Apr. Register. Conference, Virtual
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 
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
The Kaggle Book: Data analysis and machine learning for
The Kaggle Book: Data analysis and machine learning for competitive data science Kindle Edition ; Kindle. $32.39 ; Paperback. $39.99 ; Other Sellers. See all 2 
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.

Pdf downloads:
DOWNLOADS Amygdala by Sam Fennah
[PDF EPUB] Download Feeling Afraid As If Something Terrible Is Going to Happen by Marcelo Dos Santos Full Book
[PDF EPUB] Download Wolfsong (Green Creek #1) by TJ Klune Full Book
Download Pdf Explorer l'éternel - Essais sur l'enseignement de Nisargadatta Maharaj
[PDF/Kindle] HAMLET (CLASICOS MANGA) descargar gratis
[PDF/Kindle] Until I Meet My Husband (Manga) by Ryousuke Nanasaki, Yoshi Tsukizuki
[PDF/Kindle] 9 MESES DESDE DENTRO descargar gratis
A BOCA DE CANO MANEL ALAMO ePub gratis