Udemy – Introduction to Natural Language Processing in Python [2024] 2024-2

Apr 18, 2025 - 19:41

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Introduction to Natural Language Processing in Python [2024] course. Natural language processing (NLP) is a leading field in artificial intelligence that combines linguistics, computer science, and machine learning. This course introduces the fundamentals and techniques of NLP using the Python programming language. Participants will be introduced to popular Python libraries such as NLTK, spaCy, and scikit-learn and will gain the skills to perform various NLP tasks, including tokenization, stemming and lemmatization, word role labeling, named entity recognition, sentiment analysis, and language modeling. The course begins with basic concepts such as text preprocessing, feature extraction, and text to numeric vectors. It then moves on to more advanced topics such as syntactic and semantic analysis of sentences, as well as word embeddings. Participants will learn about practical applications of NLP in areas such as information retrieval, question answering systems, machine translation, and chatbot development. By the end of the course, learners will be able to implement NLP models on real data and evaluate their performance. Designed for anyone interested in natural language processing, from beginners to experienced Python programmers, this course provides the skills necessary to work with text data and develop intelligent NLP-based applications.

What you will learn:

panda
numpy
seaborn
matplotlib
spaCy
lemmatization
tokenization
Stop-word removal
Folding case
N-grams
XGBOOST
Word2vec
skip-gram
Bag of words
Zipf’s law
TF-IDF
Feature engineering
WordCloud
Hierarchical Clustering
Sampling
Removing Correlated features
Dimensionality reduction
Tree methods
TextBlob
keras

Who is this course suitable for?

Anyone interested in artificial intelligence, machine learning, or deep learning.
Any data analyst who wants to advance in machine learning, deep learning, and artificial intelligence.
Anyone who is not comfortable with coding but is interested in machine learning, deep learning, and artificial intelligence and wants to easily apply it to data sets.
Data scientists who want to take their AI skills to the next level.
Artificial intelligence professionals who want to expand into the field of applications.
Anyone who wants to add value to their business using powerful machine learning, artificial intelligence, and deep learning tools.
Anyone who wants to work in an automotive company as a data scientist, machine learning, deep learning, and artificial intelligence engineer.
Anyone who is not satisfied with their job and wants to be a scientist.
Software developers, data scientists, and researchers interested in natural language processing.
Professionals looking to expand their skill set and explore new career opportunities in NLP and related fields.
Students and academics who are looking to learn advanced techniques and tools in NLP and want to apply them in their research projects.

Course Description Introduction to Natural Language Processing in Python [2024]

Publisher: Udemy
Instructor: Hoang Quy La
Training level: Beginner to advanced
Training duration: 14 hours and 8 minutes
Number of lessons: 80

Course headings

Prerequisites for the Introduction to Natural Language Processing in Python [2024] course

Basic knowledge of Python programming
Familiarity with data manipulation and analysis using Python libraries such as NumPy and pandas
No prior experience in NLP is required, but a strong interest in language processing and machine learning is recommended.