The Kaggle book : data analysis and machine learning for competitive data science /
Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. About This Audiobook Learn how Kaggle works and how to make the most of competitions fr...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Audio eBook |
| Language: | English |
| Published: |
[Birmingham] :
Packt Publishing,
2022.
|
| Edition: | [First edition]. |
| Series: | Expert insight.
|
| Subjects: | |
| Online Access: | CONNECT CONNECT |
| LEADER | 04166nim a22005657i 4500 | ||
|---|---|---|---|
| 001 | in00006196176 | ||
| 006 | m o h | ||
| 007 | sz zunnnnnuneu | ||
| 007 | cr nnannnuuuuu | ||
| 008 | 220920s2022 enknnnn o i n eng d | ||
| 005 | 20220927170837.9 | ||
| 035 | |a 1WRLDSHRon1345245333 | ||
| 040 | |a ORMDA |b eng |e rda |e pn |c ORMDA | ||
| 020 | |a 9781804612361 |q (electronic audio bk.) | ||
| 020 | |a 1804612367 |q (electronic audio bk.) | ||
| 035 | |a (OCoLC)1345245333 | ||
| 037 | |a 9781804612361 |b O'Reilly Media | ||
| 050 | 4 | |a Q325.5 | |
| 082 | 0 | 4 | |a 006.3/1 |2 23/eng/20220504 |
| 049 | |a TXMM | ||
| 100 | 1 | |a Banachewicz, Konrad, |e author. | |
| 245 | 1 | 4 | |a The Kaggle book : |b data analysis and machine learning for competitive data science / |c Konrad Banachewicz, Luca Massaron. |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Birmingham] : |b Packt Publishing, |c 2022. | |
| 300 | |a 1 online resource (1 audio file (12 hr., 29 min.)) | ||
| 306 | |a 123000 | ||
| 336 | |a spoken word |b spw |2 rdacontent | ||
| 337 | |a audio |b s |2 rdamedia | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a other |b sz |2 rdacarrier | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 344 | |a digital |2 rdatr | ||
| 347 | |a audio file |2 rdaft | ||
| 490 | 1 | |a Expert insight | |
| 520 | |a Get a step ahead of your competitors with insights from over 30 Kaggle Masters and Grandmasters. Discover tips, tricks, and best practices for competing effectively on Kaggle and becoming a better data scientist. About This Audiobook Learn how Kaggle works and how to make the most of competitions from over 30 expert Kagglers Sharpen your modeling skills with ensembling, feature engineering, adversarial validation and AutoML A concise collection of smart data handling techniques for modeling and parameter tuning In Detail 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 an amazing community of data scientists, and gain valuable experience to help grow your career. The first audiobook of its kind, The Kaggle Book assembles in one place the techniques and skills you'll need for success in competitions, data science projects, and beyond. Two Kaggle Grandmasters walk you through modeling strategies you won't easily find elsewhere, and the 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, tabular, 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 audiobook is for you. Audience This audiobook is suitable for anyone new to Kaggle, veteran users, and anyone in between. Data analysts/scientists who are trying to do better in Kaggle competitions and secure jobs with tech giants will find this audiobook useful. A basic understanding of machine learning concepts will help you make the most of this audiobook. | ||
| 588 | 0 | |a Online resource; title from title details screen (O'Reilly, viewed September 20, 2022). | |
| 590 | 0 | |a O'Reilly Online Learning Platform: Academic Edition (SAML SSO Access) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Big data. | |
| 655 | 7 | |a Audiobooks. |2 lcgft | |
| 700 | 1 | |a Massaron, Luca, |e author. | |
| 730 | 0 | |a WORLDSHARE SUB RECORDS | |
| 830 | 0 | |a Expert insight. |h Spoken word. | |
| 856 | 4 | 0 | |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9781804612361/?ar |z CONNECT |3 O'Reilly |t 0 |
| 949 | |a ho0 | ||
| 994 | |a 92 |b TXM | ||
| 998 | |a wi | ||
| 999 | f | f | |s 4f033736-0bc0-4cdf-8296-9a9c8963b5cb |i c03d6854-927c-4e68-95fa-023f14d52b23 |t 0 |
| 952 | f | f | |a Middle Tennessee State University |b Main |c James E. Walker Library |d Electronic Resources |t 1 |e Q325.5 |h Library of Congress classification |
| 856 | 4 | 0 | |3 O'Reilly |t 0 |u https://go.oreilly.com/middle-tennessee-state-university/library/view/-/9781804612361/?ar |z CONNECT |
