feat.engineering valuation and analysis

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Title Feature Engineering and Selection: A Practical Approach for Predictive
Description A primary goal of predictive modeling is to find a reliable and effective predic- tive relationship between an available set of features and an outcome. This book provides an extensive set of techniques for uncovering effective representations of
Keywords N/A
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WebSite feat faviconfeat.engineering
Host IP 52.73.87.228
Location United States
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feat.engineering Valuation
US$2,416,612
Last updated: 2023-05-03 05:11:26

feat.engineering has Semrush global rank of 4,379,812. feat.engineering has an estimated worth of US$ 2,416,612, based on its estimated Ads revenue. feat.engineering receives approximately 278,840 unique visitors each day. Its web server is located in United States, with IP address 52.73.87.228. According to SiteAdvisor, feat.engineering is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$2,416,612
Daily Ads Revenue US$2,231
Monthly Ads Revenue US$66,922
Yearly Ads Revenue US$803,059
Daily Unique Visitors 18,590
Note: All traffic and earnings values are estimates.
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Host Type TTL Data
feat.engineering. A 299 IP: 52.73.87.228
feat.engineering. A 299 IP: 68.183.29.183
feat.engineering. NS 3600 NS Record: dns4.p05.nsone.net.
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feat.engineering. NS 3600 NS Record: dns3.p05.nsone.net.
HtmlToTextCheckTime:2023-05-03 05:11:26
Preface 1 Introduction 1.1 A Simple Example 1.2 Important Concepts 1.2.1 Overfitting 1.2.2 Supervised and Unsupervised Procedures 1.2.3 No Free Lunch 1.2.4 The Model versus the Modeling Process 1.2.5 Model Bias and Variance 1.2.6 Experience-Driven Modeling and Empirically Driven Modeling 1.2.7 Big Data 1.3 A More Complex Example 1.4 Feature Selection 1.5 An Outline of the Book 1.6 Computing 2 Illustrative Example: Predicting Risk of Ischemic Stroke 2.1 Splitting 2.2 Preprocessing 2.3 Exploration 2.4 Predictive Modeling Across Sets 2.5 Other Considerations 2.6 Computing 3 A Review of the Predictive Modeling Process 3.1 Illustrative Example: OkCupid Profile Data 3.2 Measuring Performance 3.2.1 Regression Metrics 3.2.2 Classification Metrics 3.2.3 Context-Specific Metrics 3.3 Data Splitting 3.4 Resampling 3.4.1 V -Fold Cross-Validation and Its Variants 3.4.2 Monte Carlo Cross-Validation 3.4.3 The Bootstrap 3.4.4 Rolling Origin Forecasting 3.4.5 Validation Sets 3.4.6 Variance and Bias in
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feat.engineering Whois Information
Domain Name: feat.engineering
Registry Domain ID: 25b17554ad184ab59f2cff017f187b81-DONUTS
Registrar WHOIS Server: whois.tucows.com
Registrar URL: http://www.tucows.com
Updated Date: 2021-05-14T09:56:18Z
Creation Date: 2018-05-10T00:34:04Z
Registry Expiry Date: 2022-05-10T00:34:04Z
Registrar: Tucows Domains Inc.
Registrar IANA ID: 69
Registrar Abuse Contact Email: domainabuse@tucows.com
Registrar Abuse Contact Phone: 416.535.0123x1283
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Registrant Organization: Contact Privacy Inc. Customer 0151508843
Registrant State/Province: ON
Registrant Country: CA
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Name Server: dns4.p05.nsone.net
DNSSEC: unsigned
>>> Last update of WHOIS database: 2021-09-13T15:49:57Z <<<