Description
Natural Language Processing (NLP) in Python with 8 Projects is a project-based training course on natural language processing with Python, published by Yodmi 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 systems و and… pointed out.
What you will learn in the Natural Language Processing (NLP) course 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
- Classify documents and text files 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
Course specifications
Publisher: Udemi
Instructor: Ankit Mistry, Vijay Gadhave, and Data Science & Machine Learning Academy
Language: English
Education Level: Basic to Advanced
Number of Courses: 93
Training Duration: 10 hours and 25 minutes
Course topics
Course Prerequisites
Basic understanding of Python Programming
Course pictures
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
download link
Download Part 1 – 2 GB
Download Part 2 – 2 GB
Download Section 3 – 496 MB
file password link
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