Duration: 23h12m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.9 GB
Genre: eLearning | Language: English
Data Science A-Z, Python for Data Science, R for Data Science, Statistics for Data Science, Math for Deep Learning

Eduardo Freitas | Duration: 1h 20m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 165 MB | Language: English + SUB
This course will teach you how to use and work with Amazon Textract, which extracts text and data from scanned documents, going beyond traditional OCR.
Businesses are moving to an instantaneous and digital world, but we will still need physical documents for quite some time. In this course, Extracting Text and Data with Amazon Textract, you will learn to use OCR technology to extract text, and key-value pairs of data from scanned documents. First, you will explore how to detect printed text and numbers in a scan or rendering of a document. Next, you will discover how to detect key-value pairs in document images automatically so that they can retain the inherent context of the document without any manual intervention. Finally, you will learn how to preserve the composition of data stored in tables during extraction. When finished with this course, you will have the skills and knowledge of how to use Amazon Textract to create smart search indexes, build automated approval workflows, and better maintain compliance with document archival rules by flagging data that may require manual input, as well as being able to export data contained within those documents to other systems.

McKinney Python for Data Analysis 2nd ed 2017
pdf | 8.94 MB | N/A | Isbn:N/A | Author: Wes McKinney | Year: N/A

Solving Data Science Case Studies with Python - Improve Your Problem Solving Skills in Data Science by Solving Case Studies
pdf, epub, azw3 | 9.62 MB | English | Isbn:‎ B0983ZXPGS | Author: Kharwal, Aman | Year: 2021

Effective Data Wrangling and Exploration with R
epub | 4.95 MB | English | Isbn:‎ B08TW46GVF | Author: FRU Kingsly | Year: 2021

Modern Data Strategy
pdf, epub | 6.36 MB | English | Isbn:‎ B077G9L3WH | Author: Mike Fleckenstein and Lorraine Fellows | Year: 2018

Data-Driven Evolutionary Optimization - Integrating Evolutionary Computation, Machine Learning and Data Science
pdf, epub | 62 MB | English | Isbn:‎ B0987594M5 | Author: Yaochu Jin, Handing Wang, Chaoli Sun | Year: 2021

Emerging Technologies in Data Mining and Information Security, Volume 1
pdf, epub | 176.26 MB | English | Isbn:‎ B0986TBWWC | Author: Aboul Ella Hassanien, Siddhartha Bhattacharyya, Satyajit Chakrabati, Abhishek Bhattacharya, Soumi Dutta | Year: 2021

h264, yuv420p, 1280x720 | ENGLISH, 48000 Hz, 2channel | 1h 27mn | 708.4 MB
Welcome to How to Visualize Data with R. In this course, You'll learn how to use the R programming language and RStudio to visualize data. Elisabeth will take you through building a visualization using data downloaded from the US National Weather Service. You'll learn how to use R to read data from a CSV file, inspect and understand data and data frames, and use the Description() and ggDescription() functions to create data visualizations. Along the way, you'll learn from the ground up how to use R and RStudio, including how to create and run an R script, basic R data types and values, how to create a scatter Description graph, how linear regression works, and how to install and use an R package.
At the end of the course, you'll have completed a data visualization of the weather data and have some new skills you can apply to your own data too.

h264, yuv420p, 1280x720 | ENGLISH, 48000 Hz, 2channel | 1h 20mn | 1.53 GB
Data Visualizations make it easier for humans to understand data and analyze trends within the data. In this course, join us to learn how to incorporate data visualization into your web skills using HTML, javascript, and the D3 data visualization library. We'll take you through building a visualization using data downloaded from NASA. You'll learn how to use D3 to read data into a web page, select and create new elements, and position and style elements to generate a striking color visualization. Along the way, you'll learn from the ground up how to use D3: how data binding works, how to use methods to add attributes and style on D3 elements, and how to use scale functions to process data points as you build the visualization.
At the end of the course, you'll have gained some new skills that you can apply to data to make it easier to understand.