Introduction to Data Science: Essential Concepts
Environmental Data Science: An Introduction to Data science for Environmental Sciences eBooks & eLearning
Posted by TiranaDok at Jan. 15, 2024
Environmental Data Science: An Introduction to Data science for Environmental Sciences by Hayden Van Der Post, Avery Quinn, Alice Schwartz
English | December 9, 2023 | ISBN: N/A | ASIN: B0CPWQ6DMJ | 270 pages | EPUB | 1.92 Mb
English | December 9, 2023 | ISBN: N/A | ASIN: B0CPWQ6DMJ | 270 pages | EPUB | 1.92 Mb
Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering eBooks & eLearning
Posted by yoyoloit at Sept. 17, 2021
Introduction to Data Science eBooks & eLearning
Posted by naag at May 29, 2017
Introduction to Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 39 | 451 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 39 | 451 MB
Genre: eLearning | Language: English
An overview of modern data science: the practice of obtaining, exploring, modeling, and interpreting data.
Data Science 101: Methodology, Python, and Essential Math eBooks & eLearning
Posted by IrGens at April 29, 2022
Data Science 101: Methodology, Python, and Essential Math
.MKV, AVC, 1920x1080, 60 fps | English, AAC, 2 Ch | 14h 47m | 9.51 GB
Instructor: Ermin Dedic
.MKV, AVC, 1920x1080, 60 fps | English, AAC, 2 Ch | 14h 47m | 9.51 GB
Instructor: Ermin Dedic
Introduction to Data Science, with Introduction to R, Version 3 by Jeffrey Stanton eBooks & eLearning
Posted by lengen at April 22, 2019
Introduction to Data Science, with Introduction to R, Version 3 by Jeffrey Stanton
English | 2013 | ISBN: N/A | 196 Pages | PDF | 18.4 MB
English | 2013 | ISBN: N/A | 196 Pages | PDF | 18.4 MB
This book provides non-technical readers with a gentle introduction to essential concepts and activities of data science. For more technical readers, the book provides explanations and code for a range of interesting applications using the open source R language for statistical computing and graphic
A General Introduction to Data Analytics eBooks & eLearning
Posted by roxul at July 29, 2018
João Moreira and Andre Carvalho, "A General Introduction to Data Analytics"
English | ISBN: 1119296242 | 2018 | 352 pages | PDF | 7 MB
English | ISBN: 1119296242 | 2018 | 352 pages | PDF | 7 MB
Python for data science and basics of ML using regression eBooks & eLearning
Posted by lucky_aut at Dec. 19, 2022
Python for data science and basics of ML using regression
Duration: 20:01:17 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 15.6 GB
Genre: eLearning | Language: English
Duration: 20:01:17 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 15.6 GB
Genre: eLearning | Language: English
Python required for data science and flavor of machine learning using simple linear regression
Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data eBooks & eLearning
Posted by yoyoloit at Oct. 10, 2021
Practical Data Science with Python
by George, Nathan;
English | 2021 | ISBN: 1801071977 | 621 pages | True (PDF EPUB) | 20.04 MB
by George, Nathan;
English | 2021 | ISBN: 1801071977 | 621 pages | True (PDF EPUB) | 20.04 MB
Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Mach eBooks & eLearning
Posted by arundhati at Sept. 21, 2021
PRATEEK GUPTA, "Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Mach"
English | ISBN: 9389898064 | 2021 | 360 pages | PDF | 19 MB
English | ISBN: 9389898064 | 2021 | 360 pages | PDF | 19 MB
Introduction to the Smart Grid: Concepts, Technologies and Evolution eBooks & eLearning
Posted by AvaxGenius at July 9, 2017
Introduction to the Smart Grid: Concepts, Technologies and Evolution By Salman K Salman
English | PDF | 2017 | 301 Pages | ISBN : 1785611194 | 17.4 MB
In recent years it has become increasingly apparent that conventional electrical networks cannot meet the requirements of the 21st century. These include reliability, efficiency, liberalisation of electricity markets, as well as effective and seamless integration of various types of renewable energy sources, electric vehicles, and customers as players.