
Udemy – 2025 Natural Language Processing in Python for Beginners 2024-11
Published on: 2024-11-29 13:47:09
Categories: 28
Descriptions
2025 Natural Language Processing in Python for Beginners, it is designed to give you a complete understanding of Text Processing and Mining with the use of State-of-the-Art NLP algorithms in Python. We will learn Spacy in detail and we will also explore the uses of NLP in real life. This course covers the basics of NLP to advance topics like word2vec, GloVe, Deep Learning for NLP like CNN, ANN, and LSTM. I will also show you how you can optimize your ML code by using various tools of sklean in python. At the end part of this course, you will learn how to generate poetry by using LSTM. Multi-Label and Multi-class classification is explained. At least 12 NLP
Projects are covered in this course. You will learn various ways of solving edge-cutting NLP problems.
In this course, we will start from level 0 to the advanced level. We will start with basics like what is machine learning and how it works. Thereafter I will take you to Python, Numpy, and Pandas crash course. If you have prior experience you can skip these sections. The real game of NLP will start with Spacy Introduction where I will take you through various steps of NLP preprocessing. We will be using Spacy and NLTK mostly for the text data preprocessing.
What you’ll learn
- Learn complete text processing with Python
- Learn how to extract text from PDF files
- Use Regular Expressions for search in text
- Use SpaCy and NLTK to extract complete text features from raw text
- Use Latent Dirichlet Allocation for Topic Modelling
- Use Scikit-Learn and Deep Learning for Text Classification
- Learn Multi-Class and Multi-Label Text Classification
- Use Spacy and NLTK for Sentiment Analysis
- Understand and Build word2vec and GloVe based ML models
- Use Gensim to obtain pretrained word vectors and compute similarities and analogies
- Learn Text Summarization and Text Generation using LSTM and GRU
Who this course is for
- Beginners in Natural Language Processing
- Data Scientist curious to learn NLP
- Individuals with a basic understanding of Python programming who want to expand their skills to include natural language processing
- Data scientists, data analysts, and researchers who want to add NLP to their toolkit
- Developers who want to build applications that involve natural language processing, such as chatbots or text-based recommender systems
- Students and professionals in fields such as linguistics, computer science, and artificial intelligence who want to gain a deeper understanding of NLP
Specificatoin of 2025 Natural Language Processing in Python for Beginners
- Publisher : Udemy
- Teacher : Laxmi Kant | KGP Talkie
- Language : English
- Level : All Levels
- Number of Course : 317
- Duration : 38 hours and 24 minutes
Content

Requirements
- Have a desire to learn
- Elementary level math
- Have basic understanding of Python and Machine Learning
Pictures

Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 1080p
The 2024/11 version has a reduction of 56 lessons and a duration of 3 hours and 57 minutes compared to 2024/8. The course quality has also been increased from 720p to 1080p and subtitles have been added.
Download Links
Download Part 1 – 3 GB
Download Part 2 – 3 GB
Download Part 3 – 3 GB
Download Part 4 – 3 GB
Download Part 5 – 3 GB
Download Part 6 – 2.39 GB
File size
17.3 GB
Leave a Comment (Please sign to comment)