Go For Data Science and Natural Language Processing (Golang)

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Go For Data Science and Natural Language Processing (Golang) [TutsNode.com] - Go For Data Science and Natural Language Processing (Golang) 3. Module 02 - Sentiment Analysis In Golang
  • 3. Sentiment Analysis in Go Mini Project.mp4 (441.9 MB)
  • 3.1 Sentiment_Analysis_Project.zip (74.2 KB)
  • 3. Sentiment Analysis in Go Mini Project.srt (60.3 KB)
  • 1. Sentiment Analysis in Go VADER (Rule Based ).srt (12.5 KB)
  • 2. Sentiment Analysis in Go Machine Learning Based.srt (9.9 KB)
  • 1.1 gosentimentanalysis.zip (5.0 KB)
  • 1. Sentiment Analysis in Go VADER (Rule Based ).mp4 (70.1 MB)
  • 2. Sentiment Analysis in Go Machine Learning Based.mp4 (54.4 MB)
7. Module 05 - Building Sentiment Analysis NLP App in Go
  • 2. Sentiment Analysis Web App - Building the App.srt (50.3 KB)
  • 2. Sentiment Analysis Web App - Building the App.mp4 (300.8 MB)
  • 2.1 sentiment_analysis_nlp_app.zip (28.6 KB)
  • 4. Sentiment Analysis Web App - Beautifying the App.srt (18.6 KB)
  • 3. Sentiment Analysis Web App - API Section.srt (10.6 KB)
  • 1. Sentiment Analysis Web App - Demo.srt (4.3 KB)
  • 4. Sentiment Analysis Web App - Beautifying the App.mp4 (152.3 MB)
  • 3. Sentiment Analysis Web App - API Section.mp4 (65.2 MB)
  • 1. Sentiment Analysis Web App - Demo.mp4 (11.2 MB)
1. Module 01
  • 6. Go4DataScience - Course Guide and Source Code.srt (3.0 KB)
  • 7. Go4DataScience - Setting Up Go IDE, VsCode & Structure of A Go Program.srt (31.2 KB)
  • 8. Go4DataScience - Variables.srt (31.0 KB)
  • 9. Go4DataScience - Arrays.srt (23.8 KB)
  • 10. Go4DataScience - Slices.srt (23.2 KB)
  • 14. Go4DataScience - Reading CSV Files in Golang.srt (19.1 KB)
  • 7.1 gobasics.zip (5.0 KB)
  • 13. Go4DataScience - Reading Text Files in Golang.srt (18.4 KB)
  • 12. Go4DataScience - Map.srt (17.5 KB)
  • 1. Introduction.srt (14.9 KB)
  • 11. Go4DataScience - Range & For Loops.srt (11.0 KB)
  • 5. Installing Golang and Updating To New Versions.srt (8.7 KB)
  • 2. Where GolangGo Fits In DataScience.srt (8.2 KB)
  • 15. Go4DataScience - Reading PDF Files.srt (8.2 KB)
  • 3. DataScience Packages in Go.srt (5.0 KB)
  • 4. Installing Golang on Linux Ubuntu.srt (3.7 KB)
  • 7. Go4DataScience - Setting Up Go IDE, VsCode & Structure of A Go Program.mp4 (173.4 MB)
  • 8. Go4DataScience - Variables.mp4 (172.0 MB)
  • 10. Go4DataScience - Slices.mp4 (156.0 MB)
  • 9. Go4DataScience - Arrays.mp4 (151.7 MB)
  • 12. Go4DataScience - Map.mp4 (120.7 MB)
  • 14. Go4DataScience - Reading CSV Files in Golang.mp4 (106.2 MB)
  • 13. Go4DataScience - Reading Text Files in Golang.mp4 (101.4 MB)
  • 11. Go4DataScience - Range & For Loops.mp4 (69.0 MB)
  • 5. Installing Golang and Updating To New Versions.mp4 (63.3 MB)
  • 15. Go4DataScience - Reading PDF Files.mp4 (55.0 MB)
  • 1. Introduction.mp4 (39.9 MB)
  • 6.1 go4datascience_course_materials.zip (27.5 MB)
  • 2. Where GolangGo Fits In DataScience.mp4 (23.6 MB)
  • 4. Installing Golang on Linux Ubuntu.mp4 (20.5 MB)
  • 3. DataScience Packages in Go.mp4 (15.8 MB)
  • 6. Go4DataScience - Course Guide and Source Code.mp4 (9.3 MB)
4. Module 03 - Data Analysis & Statistics with Golang
  • 2. Data Analysis in Golang Using GoTa.mp4 (419.6 MB)
  • 2. Data Analysis in Golang Using GoTa.srt (58.1 KB)
  • 3. Exploring Gonum.srt (56.4 KB)
  • 3. Exploring Gonum.mp4 (338.8 MB)
  • 1. Statistics in Golang.srt (28.2 KB)
  • 1.1 goeda.zip (628.1 KB)
  • 3.1 go4stats_gonum.zip (2.5 KB)
  • 1. Statistics in Golang.mp4 (199.5 MB)
2. Module 02 - Go For Natural Language Processing
  • 1.1 go4nlp.zip (60.5 KB)
  • 1. Go4NLP - Introduction to Natural Language Processing & Strings in Go.srt (46.1 KB)
  • 13. Go4NLP - Natural Language Processing with Prose V2.srt (42.7 KB)
  • 3. Go4NLP - Text Cleaning using Regex.srt (39.4 KB)
  • 2. Go4NLP - Working with the Strings Package.srt (33.3 KB)
  • 7. Go4NLP - Tokenization using Regular Expression.srt (17.0 KB)
  • 14. Go4NLP - Keyword Extraction in Golang.srt (20.6 KB)
  • 12. Go4NLP - Prose NER (Named Entity Recognition) In Golang.srt (19.0 KB)
  • 3. Go4NLP - Text Cleaning using Regex.mp4 (288.8 MB)
  • 5. Go4NLP - Language Detection with Whatlanggo.srt (13.0 KB)
  • 4. Go4NLP - Language Detection.srt (11.4 KB)
  • 15. Go4NLP - Text Summarization using TLDR.srt (10.9 KB)
  • 11. Go4NLP - Prose Named Entity Recognition Chunks in Golang.srt (10.0 KB)
  • 13. Go4NLP - Natural Language Processing with Prose V2.mp4 (276.3 MB)
  • 6. Go4NLP - Tokenization In Golang.srt (9.6 KB)
  • 9. Go4NLP - Prose Noun Chunk.srt (8.9 KB)
  • 8. Go4NLP - Prose Part of Speech Tagging in Golang.srt (8.8 KB)
  • 10. Go4NLP - Prose Creating Custom Verb Chunks.srt (6.8 KB)
  • 1. Go4NLP - Introduction to Natural Language Processing & Strings in Go.mp4 (260.8 MB)
  • 2. Go4NLP - Working with the Strings Package.mp4 (247.1 MB)
  • 14. Go4NLP - Keyword Extraction in Golang.mp4 (127.3 MB)
  • 12. Go4NLP - Prose NER (Named Entity Recognition) In Golang.mp4 (109.2 MB)
  • 7. Go4NLP - Tokenization using Regular Expression.mp4 (86.3 MB)
  • 4. Go4NLP - Language Detection.mp4 (78.7 MB)
  • 5. Go4NLP - Language Detection with Whatlanggo.mp4 (77.8 MB)
  • 11. Go4NLP - Prose Named Entity Recognition Chunks in Golang.mp4 (74.1 MB)
  • 6. Go4NLP - Tokenization In Golang.mp4 (58.6 MB)
  • 15. Go4NLP - Text Summarization using TLDR.mp4 (52.8 MB)
  • 9. Go4NLP - Prose Noun Chunk.mp4 (52.7 MB)
  • 10. Go4NLP - Prose Creating Custom Verb Chunks.mp4 (46.3 MB)
  • 8. Go4NLP - Prose Part of Speech Tagging in Golang.mp4 (40.6 MB)
6. Module 05 - Building Data Web Apps with Golang
  • 2. GoFiber - Basics.srt (25.9 KB)
  • 7. GoFiber - File Uploads.srt (21.4 KB)
  • 10. GoFiber - Working with Bootstrap.srt (20.6 KB)
  • 5. GoFiber - Form Handling.srt (17.4 KB)
  • 4. GoFiber - Rendering HTML & Templating.srt (16.1 KB)
  • 3. GoFiber - Working with Query Params.srt (16.1 KB)
  • 9. GoFiber - Rendering Uploaded Files to Front-End.srt (11.9 KB)
  • Description


    Description

    Go, also know as Golang, is a modern programming language created by 3 Great individuals and backed by Google to address

    certain types of issues.

    Being one of the fastest growing languages used in the DevOps and Microservices world, can it also be used for Data Science?

    Data Science is being used everywhere and has several applications in the real world such as Machine Learning Applications to Natural Language processing and Deep Learning.

    As everyone knows and would agree with me,Python is known to be the best language for doing Data Science in this present era, but can we also use Golang for doing Data Science?

    With all the benefits and features of Golang – is it easy for beginners to pick up Golang and use it for Data Science?

    Go is fast, easy to learn and cross compatible with a great concurrency feature as well as several web frameworks,etc but is it Data Science friendly?

    Introducing Go4DataScience & Go4NLP.

    This course seeks to explore and address the challenges we have in doing Data Science and NLP using Golang for beginners.

    I believe this is one of the first training programs on this platform intended to perform data science with Golang for beginners.

    Go For Data Science(Go4Datascience) is the course where Golang meets Data Science i.e, two growing fields meeting together.

    Although Go has several Libraries and Package with a massive growing community,I faced a lot of challenges when performing data science using Golang. So this course is my attempt to document the process of performing datascience and NLP using Golang.

    Join me as we experiment together – we will meet a lot of challenges and shortcomings but we will prevail and pave the way for others to find it easier for doing data science with Golang.

    What you’ll learn

    Learn the basics of Go relevant enough for DataScience and NLP
    Find out how to read files such as CSV,Txt and PDF in Golang
    How to Clean data using Regex and more
    Perform Statistics using Several Packages in Go such as Gonum,Stats,etc
    Data Analysis and Exploration using Golang via GoTa,etc.
    Understand NLP concepts and their implementation in a simple way
    Perform Sentiment Analysis with Golang using Two Approaches
    Perform Named Entity Recognition in Golang
    Build NLP and Data Applications using Go Web Frameworks like Go Fiber,etc
    Perform Predictive Analytics and Machine Learning using GoML, etc
    Keyword Extraction using Rakes in Golang.
    And more

    Tips for getting through the course

    Please write or code along with us do not just watch,this will enhance your understanding.
    You can regulate the speed and audio of the video as you wish,preferably at -0.75x if the speed is too fast for you.
    The course is intensive and lengthy but yet exciting and unscripted.
    Suggested Prerequisites is understanding of Golang and Data Science
    This course is NOT a ‘Theoretical Introduction to Data Science’ nor ‘Advanced Concepts in Golang’ although we try our best to cover some concepts for the beginner and the pro.
    Rather it is about experimenting with Golang for performing Data Science and Natural Language Processing.
    Go4DataScience & Go4NLP.

    Get Job ready with Go and DataScience today.

    Join us as we explore the world of Golang 4 Datascience and NLP.

    See you in the Course,Stay blessed.
    Who this course is for:

    Developers curious about data science and NLP using Go/Golang

    Requirements

    Willingness to Experiment with Go in a Thriving Field
    Basic Understanding of Data Science & NLP Concepts

    Last Updated 2/2021



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6.4 GB
seeders:12
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Go For Data Science and Natural Language Processing (Golang)


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