Python for Natural Language Processing (NLP)

Focused View

Onur Baltacı

1:42:15

205 View

1. Python Fundamentals

1. Print & Comments.mp4

02:20

2. Variables part 1.mp4

06:04

3. Variables part 2.mp4

03:58

4. Data types part 1.mp4

09:05

5. Data types part 2.mp4

05:06

6. Operators.mp4

08:40

7. If statements.mp4

05:05

8. Loops.mp4

04:27

9. Functions.mp4

04:03

2. Text Methods

1. Text methods part 1.mp4

05:18

2. Text methods part 2.mp4

08:25

3. Text methods part 3.mp4

05:13

3. Pandas

1. Pandas part 1.mp4

07:19

2. Pandas part 2.mp4

08:25

4. Evaluation of Model Performances

1. Train-Test Split.mp4

04:05

2. Confusion Matrix.mp4

02:14

5. NLP Project - Reviews

1. Exploring data.mp4

03:38

2. Sentiment analysis.mp4

04:08

3. Text Classification.mp4

04:42

Description

Learn Natural Language Processing (NLP) and its Python Implementation. Build NLP models.

What You'll Learn?

Text classification
Sentiment Analysis
Working with text data in Python
Python Fundamentals
Natural Language Processing (NLP) topics and applications

Who is this for?

People who is interested in Data Science and wants to learn Natural Language Processing (NLP)

More details

Description
Welcome to the landing page of Python for Natural Language Processing (NLP) course. This course is built for students who want to learn NLP concepts in Python. Course starts with the repeat of the Python Fundamentals. After it text methods and pandas library is covered in the course. Text methods will be helpful when we are going to be building Natural Language Processing projects. We will use pandas library for reading and analyzing our data sets. After it we will cover some fatures of spaCy library like part of speech tagging, tokenization and named entity recognition. spaCy with NLTK are the both most popular Python libraries for Natural Language Processing.Â After covering that concepts we will move into evaluation of model performances section and there we will be learning how the NLP models will be evaluated. After that task we will see Sentiment Analysis and Text Classification and we will make examples of them. At the final lectures of the course we will build a Natural Language Processing project from stratch with what we learned through the course and we will finish. At the whole course process and after it, students can reach to me about the course concepts via Q&A section of the course or direct messages on Udemy. Thanks for visiting course page and reading course description.
Who this course is for:
People who is interested in Data Science and wants to learn Natural Language Processing (NLP)

User Reviews

Rating

average 0

Total votes0

Focused display

A business analyst who is interested in data. Gave some courses online and looking for giving more courses. I try to simplify concepts in order to create efficient courses. I believe that if there is a simply way for understanding a concept, bringing complexity just leads to lose focus on that concept. Studied economics and trying to share my knowledge about data science and economics on Udemy. I create courses about statistics, data science and programming languages.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.