Data Science: Natural Language Processing (NLP) in Python
- Offered byUDEMY
Data Science: Natural Language Processing (NLP) in Python at UDEMY Overview
Duration | 12 hours |
Total fee | ₹8,640 |
Mode of learning | Online |
Credential | Certificate |
Data Science: Natural Language Processing (NLP) in Python at UDEMY Highlights
- Earn a Certificate of completion from Udemy
- 30-Day Money-Back Guarantee
- Full lifetime access
- Access on mobile and TV
Data Science: Natural Language Processing (NLP) in Python at UDEMY Course details
- 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
- Write your own sentiment analysis code in Python
- How to write your own article spinner in Python
- Write your own spam detection code in Python
- Perform latent semantic analysis or latent semantic indexing in Python
- Build Multiple practical systems using natural language processing, or NLP - the branch of machine learning and data science that deals with text and speech
- The first thing we'll build is a cipher decryption algorithm
Data Science: Natural Language Processing (NLP) in Python at UDEMY Curriculum
Natural Language Processing - What is it used for?
Why Learn NLP?
The Central Message of this Course (Big Picture Perspective)
Machine Learning Basics Review
Machine Learning: Section Introduction
What is Classification?
Classification in Code
What is Regression?
What is a Feature Vector?
Markov Models
Markov Models Section Introduction
The Markov Property
Probability Smoothing and Log-Probabilities
Building a Text Classifier (Theory)
Language Model (Theory)
Decrypting Ciphers
Language Models
Genetic Algorithms
Code Preparation
Code pt 1
Build your own spam detector
Build your own spam detector - description of data
Build your own spam detector using Naive Bayes and AdaBoost - the code
Key Takeaway from Spam Detection Exercise
Naive Bayes Concepts
Other types of features
Data Science: Natural Language Processing (NLP) in Python at UDEMY Entry Requirements
- Prerequisite: Know how to install numerical libraries for Python such as Numpy, Scipy, Scikit-learn, Matplotlib, and BeautifulSoup
- Not mentioned
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