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
Free book share download The Kaggle Book: Data analysis and machine learning for competitive data science (English Edition) PDB DJVU 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
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,
Beginner to advance: Compilation of books and resources for
I have prepared a list of several books and online courses which I think are really great for any data science/ machine learning practitioner.
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
What are your favorite books to be a Hero in Data Science ?
Data Science and Machine Learning | Kaggle
Criticism and opportunities | Data Analysis and Machine
Data Analysis and Machine Learning with Kaggle ; 2. Introducing data science competitions · The rise of data science competition platforms · Kaggle competition
️ Top 100 best data science books of all Time - Volume 2 ️
61 - Big Data Analytics with Java Data analysis, visualization & machine learning Description-The book "Data science with Machine learning- Python
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
Tags | Ammar's Website
The personal website of Ammar Alyousfi which contains a blog about data science, data analysis, data visualization, machine learning, Python, and more.
Luca Massaron: Books, Biography, Blog, Audiobooks, Kindle
Luca Massaron is a data scientist and a research director specialized in multivariate statistical analysis, machine learning and customer insight with over a
Pdf downloads: Online Read Ebook L'univers à portée de main pdf, {epub descargar} EL ORO DE MUSSOLINI link, PDF [Download] So I'm a Spider, So What?, Vol. 8 (light novel) by Okina Baba, Asahiro Kakashi download pdf, [PDF] Un bon indien est un indien mort download link, [PDF EPUB] Download Harry Styles: The Making of a Modern Man by Sean Smith Full Book read pdf, Download PDF Lent: The Season of Repentance and Renewal by Esau McCaulley, Esau McCaulley read book, ARDE LA LUZ leer el libro pdf link,
0コメント