Text Analytics and NLP with Python
- Beginner
- 18 and older
- $99
- Earn 990 reward points
- Price Lock Guarantee
- 49 W 33rd St, New York, NY
- 4 hours over 2 sessions
Jun 10th
6–9pm EDT
Meets 10 Times
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Class Description
Description
What you'll learn in this machine learning course:
The ability to extract useful information and actionable insights from heaps of unstructured and raw textual data is in great demand today with regard to applications in NLP and text analytics.
This course will introduce you to the basics of text analytics in the Python ecosystem, primarily using the spaCy and gensim libraries. spaCy and gensim are powerful Python libraries that make processing textual data a breeze!
No previous exposure to these libraries is assumed.
You will learn:
Prerequisites:
This course will introduce you to the basics of text analytics in the Python ecosystem, primarily using the spaCy and gensim libraries. spaCy and gensim are powerful Python libraries that make processing textual data a breeze!
No previous exposure to these libraries is assumed.
You will learn:
- Why is Natural Language Processing (NLP) Necessary?
- What Problem Does Natural Language Processing Solve?
- Understanding The Syntax and Structure of Textual Data
- Word Embedding - Representing Words as Vectors
- The Basics of Natural Language Processing using spaCy and gensim
- Text Tokenization and Normalization
- Automated Document Summarization and Topic Modeling: What is My Text About?
- Extracting Key Information from Unstructured Text
- Extracting Positive and Negative Sentiment From Text
Prerequisites:
- Python
- Laptop
Refund Policy
To reschedule or cancel, email us at [email protected]
All courses include a non-refundable registration fee (10% of the undiscounted course price).
- Students may cancel up to 11 business days before the class/program start date and receive a refund, less the registration fee.
- Cancellations within 11 business days are not permitted; however, students may reschedule up to 4 business days before the class start date.
Note: Any refunds must be requested within 180 days from the original payment date; courses rescheduled within 11 business days of the start date are not eligible for refunds.
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Practical Programming
Flatiron, Manhattan
49 W 33rd St 3rd Fl
Btwn 5th & 6th Avenues
New York, New York 10001 Flatiron, Manhattan
49 W 33rd St 3rd Fl
Btwn 5th & 6th Avenues
New York, New York 10001
3rd Floor, Doorcode 1212*
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