Download Udemy - Natural Language Processing and Text Mining Without Coding [Course Drive] torrent

Udemy - Natural Language Processing and Text Mining Without Coding [Course Drive]

Torrent:	Udemy - Natural Language Processing and Text Mining Without Coding [Course Drive]
Description:	⚡️⚡️For More Udemy Courses Visit ?? Course Drive Natural Language Processing and Text Mining Without Coding Analyze Text using Natural Language Processing ( NLP ) techniques & Text Mining without writing a single line of code. What you'll learn • Students will learn various Natural Language Processing techniques and build various real world examples all without writing a line of code. Requirements • Able to use a Windows computer and install software on it • Basic Arithmetic Description Looking to Earn a 6-Figure Income? Data Scientists with Natural Language Processing & Text Mining Skills are the Hottest and Most In-Demand Job Applicants Today! Data Scientist was recently dubbed “The Sexiest Job of the 21st Century” by Harvard Business Review, Glassdoor reports that Data Scientist was named the “Best Job in America for 2016,” and business media from Forbes to The New York Times frequently report about the increasing demand for data scientists. Most of this boom is using data that is organized and structured from your databases and spreadsheets but a huge opportunity awaits from the untapped unstructured text data (aka tweets, Facebook posts, blog posts, comments, SMS, chats, voice transcripts, etc.). Within the data science field, natural language processing is an extremely hot area in academia, startups and is just being started to be used widely within the mainstream of corporate America. Data Scientist job posting with natural language processing skills roughly doubled in 2016. Why is this great news for you? When you learn natural language processing and text mining, you will be among the elite few who can choose from a huge amount of career opportunities and a high 6-figure average salary. The sudden increase in demand for Data Scientists with natural language processing and text mining skills will create a huge gap in the coming few years. A Rare Opportunity to Quickly Learn Natural Language Processing and Text Mining at an Affordable Cost… No Previous Knowledge of Programming Required! Traditional Natural Language Processing and Text Mining requires students to know software programming, which enables them to write NLP algorithms. As a new learner the complexity of learning programming languages like Python or R can be demotivating and make you lose interest fast. But in this groundbreaking Udemy course, you’ll learn Natural Language Processing and Text Mining fundamentals and techniques without any coding whatsoever. You will learn these basic concepts using a visual tool where you can just drag drop Natural Language Processing functions, hiding the ugliness of code, as a result, it’s much easier and faster to learn! There’s literally no other course on the market that teaches Machine Learning without the need for programming knowledge or coding using Rapidminer! Happily, now you can shorten your learning curve and be on your way toward earning a 6-figure income with this groundbreaking Udemy training. We’ll Build Several Natural Language Processing Algorithms and Advanced Reports Using Text I’ll “hand-hold” you as we build from scratch several hands-on examples using Natural Language Processing algorithms used in the real world. I will explain where and how these algorithms are used. Learn Both the Theory and Application of Natural Language Processing The course will teach you those fundamental concepts of natural language processing by implementing practical exercises which are based on real world examples. You will learn the theory, but get hands on practice building these natural language processing algorithms. You’ll also get access to: • The datasets used in all the exercises. • The solution files of the completed exercises. • Cheat sheets to help you remember the fundamental concepts. Join the class now! Who this course is for: • Software Programmers or Data Analysts Trying To Learn Natural Language Processing and Text Mining • Business Analysts With No Programming Background Yet Want To Learn Natural Language Processing and Text Mining • Anyone Who Wants To Understand the Fundamentals of Natural Language Processing and Text Mining
Downloads:	92
Category:	Other /Tutorials
Size:	502 MB
Show Files »	Natural Language Processing and Text Mining Without Coding Natural Language Processing and Text Mining Without Coding 5. Analyze The Sentiment Of Stocks In Your Watchlist 8. Clean and Prepare Text in Tweets.mp4 (37.1 MB) 1. What Will You Learn From This Exercise.mp4 (1.5 MB) 1. What Will You Learn From This Exercise.srt (1.3 KB) 2. Connecting To The Twitter API.mp4 (5.7 MB) 2. Connecting To The Twitter API.srt (4.0 KB) 3. Install Extension For Text Mining and Create API Account.mp4 (11.7 MB) 3. Install Extension For Text Mining and Create API Account.srt (5.6 KB) 4. Downloading The Data.html (0.2 KB) 4.1 MyStockWatchlist.csv.csv (0.1 KB) 5. About The Data.mp4 (8.6 MB) 5. About The Data.srt (7.6 KB) 6. Import The Historical Data.mp4 (5.3 MB) 6. Import The Historical Data.srt (3.3 KB) 7. Search For Tweets About Company In Your Watchlist.mp4 (15.3 MB) 7. Search For Tweets About Company In Your Watchlist.srt (5.9 KB) 8. Clean and Prepare Text in Tweets.srt (15.0 KB) 9. Find Sentiment Of The Tweets.mp4 (9.3 MB) 9. Find Sentiment Of The Tweets.srt (5.5 KB) 10. Gather Required Data To Calculate Sentiment Score.mp4 (13.8 MB) 10. Gather Required Data To Calculate Sentiment Score.srt (8.1 KB) 11. Generate a Sentiment Score For The Stock.mp4 (9.0 MB) 11. Generate a Sentiment Score For The Stock.srt (8.1 KB) 12. Conclusion - Analyze The Sentiment Of Stocks In Your Watchlist.mp4 (2.0 MB) 12. Conclusion - Analyze The Sentiment Of Stocks In Your Watchlist.srt (1.2 KB) ReadMe.txt (0.2 KB) Visit Coursedrive.org.url (0.1 KB) 1. Introduction 1. What is Natural Language Processing ( NLP ).mp4 (7.7 MB) 1. What is Natural Language Processing ( NLP ).srt (6.1 KB) 2. How To Make The Most Of This Course.mp4 (3.4 MB) 2. How To Make The Most Of This Course.srt (2.9 KB) 3. Sneak Peek Of What We Will Do In This Course.mp4 (11.1 MB) 3. Sneak Peek Of What We Will Do In This Course.srt (7.9 KB) 2. Rapidminer 1. Why Use Rapidminer.mp4 (2.2 MB) 1. Why Use Rapidminer.srt (1.5 KB) 2. Difference Between Rapidminer and Python.mp4 (5.5 MB) 2. Difference Between Rapidminer and Python.srt (4.4 KB) 3. Installing Rapidminer.mp4 (6.3 MB) 3. Installing Rapidminer.srt (3.0 KB) 4. Rapidminer Development Environment - Introduction.mp4 (6.2 MB) 4. Rapidminer Development Environment - Introduction.srt (4.3 KB) 5. Rapidminer - Operators, Extensions, Repository, Parameters, Help.mp4 (11.3 MB) 5. Rapidminer - Operators, Extensions, Repository, Parameters, Help.srt (7.4 KB) 6. Install The Text Mining Extension.mp4 (2.3 MB) 6. Install The Text Mining Extension.srt (1.2 KB) 7. Download The Data.html (0.3 KB) 7.1 Basic Process.txt.txt (0.1 KB) 8. Let's Build A Basic Process.mp4 (14.1 MB) 8. Let's Build A Basic Process.srt (9.5 KB) 3. Text Classification - Detecting Spam From Text Messages 1. What Will You Learn From This Exercise.mp4 (2.8 MB) 1. What Will You Learn From This Exercise.srt (1.8 KB) 2. Downloading The Data.html (0.8 KB) 2.1 SMSSpamCollection.txt.txt (466.7 KB) 3. Importing Data.mp4 (11.5 MB) 3. Importing Data.srt (6.3 KB) 4. Change Data Attribute Role And Type.mp4 (9.4 MB) 4. Change Data Attribute Role And Type.srt (5.6 KB) 5. Creating Word List And Word Vector.mp4 (15.8 MB) 5. Creating Word List And Word Vector.srt (9.6 KB) 6. Balance Your Dataset.mp4 (7.0 MB) 6. Balance Your Dataset.srt (4.3 KB) 7. Building The First Spam Detector.mp4 (10.0 MB) 7. Building The First Spam Detector.srt (6.1 KB) 8. Validate Our Spam Detector.mp4 (7.2 MB) 8. Validate Our Spam Detector.srt (4.4 KB) 9. Measure The Performance Of The Spam Detector.mp4 (6.2 MB) 9. Measure The Performance Of The Spam Detector.srt (4.5 KB) 10. Optimize Performance of Your Spam Detector.mp4 (11.3 MB) 10. Optimize Performance of Your Spam Detector.srt (7.4 KB) 11. Conclusion - Spam Detection.mp4 (1.9 MB) 11. Conclusion - Spam Detection.srt (1.8 KB) 12. Additional Reading.html (0.4 KB) 4. Quiz 1. Let's test your knowledge.html (0.2 KB) 6. Bonus - Scraping Web pages For Text Data 1. Install Web Mining Extension.mp4 (4.0 MB) 1. Install Web Mining Extension.srt (2.3 KB) 2. Extracting Text From a Webpage or RSS Feed.mp4 (26.0 MB) 2. Extracting Text From a Webpage or RSS Feed.srt (7.4 KB) 7. Quiz 1. Let's test your knowledge.html (0.2 KB) 8. Building a Scorecard For Customer Retention Agents 1. What Will You Learn From This Exercise.mp4 (2.1 MB) 1. What Will You Learn From This Exercise.srt (1.1 KB) 2. Downloading The Data.html (0.2 KB) 2.1 CallCenterText.csv.csv (23.5 KB) 3. What Is This Data.mp4 (3.8 MB) 3. What Is This Data.srt (3.1 KB) 4. Importing The Data.mp4 (5.7 MB) 4. Importing The Data.srt (3.7 KB) 5. Prepare Text - Change Type.mp4 (5.0 MB) 5. Prepare Text - Change Type.srt (2.9 KB) 6. Cleaning Special Characters From Text.mp4 (8.7 MB) 6. Cleaning Special Characters From Text.srt (5.7 KB) 7. Count Number of Words in Each Conversation.mp4 (9.1 MB) 7. Count Number of Words in Each Conversation.srt (5.7 KB) 8. Removing Scripted Conversations.mp4 (17.2 MB) 8. Removing Scripted Conversations.srt (7.0 KB) 9. Remove Disconnected Calls.mp4 (6.6 MB) 9. Remove Disconnected Calls.srt (3.8 KB) 10. Extract Entities from Call Logs.mp4 (10.7 MB) 10. Extract Entities from Call Logs.srt (6.2 KB) 11. Find Sentiment Of Call Logs.mp4 (8.4 MB) 11. Find Sentiment Of Call Logs.srt (4.4 KB files
Added:	2020-05-12 11:01:50
Language:	English
Peers:	Seeders : 5 , Leechers : 4
Release name:	Udemy - Natural Language Processing and Text Mining Without Coding [Course Drive]
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