Natural Language Processing (NLP) in Python with 8 Projects is a project-based training course on natural language processing with Python, published by Udemy Academy. During the course of this training course, you will participate in the development process of 8 different projects and will be introduced to various topics such as machine learning, deep learning and the SpaCy, NLTK and Sklearn libraries. Natural language processing is one of the subfields of artificial intelligence and machine learning, which is estimated to exceed $ 43 billion by 2025 and create many job opportunities. The most important products and services that use natural language processing methods include Google News, Google Translate, Android Speech Recognition, Alexa voice assistants, and Siri from Amazon and Apple. , Belief mining systems, etc. pointed out.


What you will learn in Natural Language Processing (NLP) in Python with 8 Projects
Familiarity with the concept of natural language processing or NLP
Implement natural language processing systems with Scikit-learn, NLTK and SpaCy libraries
Use machine learning models to classify textual data
Classification and classification of documents and text files in order to automatically identify spam files and .
Summarize texts by processing natural languages
Summarize a large 5000 word article and turn it into a 200 word summary with NLP
Calculate points and check user's emotions
Different concepts of machine learning and deep learning
Build a proprietary word embedding model with the Keras library
Automatic and random creation of texts with TensorFlow, Keras and LSTM libraries
Work with text and PDF files in Python and process them
Tokenization
Analyze textual data with Numpy and Pandas libraries
Illustration and construction of information graphs with Matplotlib library

https://www.udemy.com/course/complete-natural-language-processing-nlp-with-spacy-nltk/

Related Downloads :

{related-news}