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Course Outline
Introduction
- The value of text-based data
Workflow for a Text-Based Data Science Problem
Choosing the Right Machine Learning Libraries
Overview of NLP Techniques
Preparing a Dataset
Visualizing the Data
Working with Text Data with scikit-learn
Building a Machine Learning Model
Splitting into Train and Test Sets
Applying Linear Regression and Non-Linear Regression
Applying NLP Techniques
Parsing Text Data Using Regular Expressions
Exploring Other Machine Language Approaches
Troubleshooting Text Encoding Issues
Closing Remarks
Requirements
- Experience with Python
- An understanding of machine learning
- Experience with scikit-learn and pandas
Testimonials
I did like the exercises.
Office for National Statistics
The trainer very easily explained difficult and advanced topics.
Leszek K
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.
Human identification and circuit board bad point detection
王 春柱 - 中移物联网
Demonstrate
- 中移物联网
About face area.
- 中移物联网
the last day. generation part
- Accenture Inc
The topics referring to NLG. The team was able to learn something new in the end with topics that were interesting but it was only in the last day. There were also more hands on activities than slides which was good.
- Accenture Inc
I like that it focuses more on the how-to of the different text summarization methods
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
the way he present everything with examples and training was so useful
Ibrahim Mohammedameen - TWPI
Very knowledgeable
Usama Adam - TWPI
This is one of the best quality online training I have ever taken in my 13 year career. Keep up the great work!.
I like that it focuses more on the how-to of the different text summarization methods
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