What you’ll find out in Information Scientific research: Natural Language Handling (NLP) in Python
- Compose your own cipher decryption algorithm using genetic algorithms as well as language modeling with Markov designs
- Create your own spam discovery code in Python
- Compose your own sentiment evaluation code in Python
- Perform unrealized semantic evaluation or concealed semantic indexing in Python
- Have an idea of exactly how to create your own post spinner in Python
Description
In this course you will certainly build MULTIPLE functional systems making use of natural language processing, or NLP – the branch of artificial intelligence and also information scientific research that deals with text and also speech. This training course is not part of my deep learning collection, so it doesn’t have any kind of difficult mathematics – just directly coding in Python. All the materials for this program are FREE.
After a quick discussion concerning what NLP is and what it can do, we will certainly begin building very valuable things. The initial point we’ll build is a cipher decryption algorithm. These have applications in warfare and espionage. We will certainly learn exactly how to construct as well as apply numerous valuable NLP devices in this area, namely, character-level language versions (making use of the Markov principle), as well as hereditary formulas.
The second job, where we start to use more typical “artificial intelligence”, is to develop a spam detector. You likely obtain extremely little spam these days, contrasted to say, the very early 2000s, due to systems like these.
Who this course is for:
- Students who are comfortable writing Python code, using loops, lists, dictionaries, etc.
- Students who want to learn more about machine learning but don’t want to do a lot of math
- Professionals who are interested in applying machine learning and NLP to practical problems like spam detection, Internet marketing, and sentiment analysis
- This course is NOT for those who find the tasks and methods listed in the curriculum too basic.
- This course is NOT for those who don’t already have a basic understanding of machine learning and Python coding (but you can learn these from my FREE Numpy course).
- This course is NOT for those who don’t know (given the section titles) what the purpose of each task is. E.g. if you don’t know what “spam detection” might be useful for, you are too far behind to take this course.
| File Name : | Data Science: Natural Language Processing (NLP) in Python free download |
| Content Source: | udemy |
| Genre / Category: | Data Science |
| File Size : | 5.71 gb |
| Publisher : | Lazy Programmer Inc. |
| Updated and Published: | 07 Jul,2022 |
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