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  3. Data Scientists

Data Analysis : A Gentle Introduction for Future Data Scientists

Posted By: yoyoloit
Date: 18 Aug 2023 13:08:35
Data Analysis : A Gentle Introduction for Future Data Scientists

Data Analysis
by Upton, Graham;Brawn, Dan;
English | 2023 | ISBN: 0192885774 | 161 pages | True PDF | 5.58 MB
Details

Software Engineering for Data Scientists (2nd Early Release)

Posted By: GFX_MAN
Date: 27 Mar 2023 17:20:06
Software Engineering for Data Scientists (2nd Early Release)

Software Engineering for Data Scientists (2nd Early Release)
English | 2023 | ISBN: 9781098136192 | 52 pages | EPUB | 2.4 MB

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, clearly explaining how to apply the best practices from software engineering to data science.
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Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python

Posted By: GFX_MAN
Date: 23 Dec 2022 17:42:48
Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python

Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python
English | 2023 | ISBN: 9781484289785 | 188 Pages | True PDF,EPUB | 15.3 MB

This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing.
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SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis

Posted By: yoyoloit
Date: 25 Aug 2021 07:09:43
SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis

SQL for Data Scientists
by Teate, Renee M.;
English | 2021 | ISBN: 1119669367 | 291 pages | True PDF | 13.91 MB
Details

SSAS Tabular Model with Power BI - A comprehensive training

Posted By: ELK1nG
Date: 9 Mar 2021 21:58:51
SSAS Tabular Model with Power BI - A comprehensive training

SSAS Tabular Model with Power BI - A comprehensive training
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (2h 22m) | Size: 1.41 GB

Build tabular models step by step
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Feature Engineering and Dimensionality Reduction with Python

Posted By: ELK1nG
Date: 4 Mar 2021 12:40:32
Feature Engineering and Dimensionality Reduction with Python

Feature Engineering and Dimensionality Reduction with Python
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 48000 Hz | 11h 7m | 3.56 GB

Machine Learning Basics: Feature Engineering, Dimensionality Reduction and Data Cleaning, Theory & Practice in Python
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Computer Vision-Theory & Projects in Python for Beginners

Posted By: ELK1nG
Date: 4 Mar 2021 11:36:50
Computer Vision-Theory & Projects in Python for Beginners

Computer Vision-Theory & Projects in Python for Beginners
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 26h 59m | 10.6 GB

Computer Vision-Become an ace of Computer Vision, Detect Shapes and Create Apps using Python, OpenCV, TensorFlow, etc.
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Mathematics & Statistics for Machine Learning

Posted By: ELK1nG
Date: 10 Feb 2021 12:44:20
Mathematics & Statistics for Machine Learning

Mathematics & Statistics for Machine Learning
MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 1h 31m | 448 MB

Learn these concepts First before learning Machine Learning
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Exploring Math for Programmers and Data Scientists

Posted By: hill0
Date: 20 Dec 2020 14:41:25
Exploring Math for Programmers and Data Scientists

Exploring Math for Programmers and Data Scientists
by Paul Orland
English | 2020 | ISBN: 9781617299353 | 91 Pages | PDF | 16.3 MB
Details

Models of Learning and Optimization for Data Scientists: A Python hands-on approach

Posted By: AvaxGenius
Date: 26 Jul 2020 02:18:15
Models of Learning and Optimization for Data Scientists: A Python hands-on approach

Models of Learning and Optimization for Data Scientists: A Python hands-on approach by Sergio Rojas-Galeano
English | PDF | 2020 | 95 Pages | ISBN : N/A | 9.84 MB

Data is nowadays ubiquitous, voluminous and puzzling. It is not surprise that scientists are so interested in analysing it, understanding it and discovering underlying complex patterns within it. And that’s the origin of what is known as Data Science. But as much as the scientific interest in this respect is growing, so it is practitioners curiosity about potential applications in real life and development of technological tools for Data Science in non-academic contexts.
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